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brotrustmeicanwrite · 5 months ago

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I fucking hate AI but heavens would it be useful if it wasn't such an unethical shit show

First, just to be clear, I'm talking about actually using AI as a tool to support your writing process, not to generate soulless texts made from stolen data instead of writing yourself.

Back when ChatGPT first became available it was still pretty useless so I had a lot of time to learn about how it's made, how it works and the ethics of it before ever touching the technology. I decided pretty quickly to never use it to generate text (or images) for actual writing and art but I still wanted to experiment with what else it could do (because I'm a nosy bitch that needs to know and poke everything).

And HEAVENS was it a blessing for writing with adhd

The last time I wrote more than 200 words in a day (outside of school work obviously) was 7th grade. I wrote over 8k just in notes the day Google's "Gemini" (formerly "Bard") became available to the public.

In order to not jeopardize my existing work I decided to make a completely new story with Bard's help that wasn't linked in any way to anything I had made before. So I started with a prompt along the lines of "I need help writing a story". At first, it immediately started generating a completely random story about a green tiger but after some trial and error, I got it to instead start asking questions.

What do you want the theme of your story to be?

What genre do you want to write in?

What time period do you want your story to take place in?

Is there magic?

Are there other sentient creatures besides humans?

And so on and so forth. Until the questions became extremely specific after covering all the bases. I could tell that all I was doing was essentially talking to an amalgamation of every "how to write" blog and website you've ever seen and telling it which part I wanted to work on next but it still felt great because the AI didn't actually contribute anything besides a few suggestions of common tropes and themes here and some synonyms and related words there; I was doing all the work.

And that's the point.

Nothing in that exchange was something I couldn't easily do on my own. But what happened was that I had turned what is usually a chaotic mess of a railway network of thoughts into a clear and most importantly recorded conversation. I can sit down and answer all those questions on my own but what usually happens when I do, is that every thought I have branches out into 4-7 new ones which I then attempt to record all at once (which obviously doesn't work, yay adhd) only to end up lost in thought with maybe 20 lines of notes in total after 6 hours at the table. Alternatively, either because I get bored or just because, I get distracted by something or my own thoughts about a different unrelated topic and end up with even less.

Working within the boundaries of a conversation forces you to focus on one specific question at a time and answer it to progress. And the engagement from the back and forth is just enough entertainment to not get bored. The six hours I mentioned before is the time I spent chatting with what is essentially a glorified chatbot that day, way less time than what I spent on any other project, and yet I have more notes and a clearer image of the story than I do about any of my real work. I have a recorded train of thought.

In theory, this would also work with a real human in a real conversation but realistically only very few people have someone who would be willing to do that; I certainly don't have a someone like that. Not to mention that someone doesn't always have time. Besides that, a real human conversation involves two minds with their own ideas, both of which are trying to contribute their own thoughts and opinions equally. The type of AI chat that I experimented with, on the other hand, is essentially just the conversation you have with yourself when answering those questions, only with part of it outsourced to a computer and no one else butting into your train of thought.

On that note, I also tried to get it to critique my writing but besides fixing grammatical errors all that thing did was sing praises as if I was God. That's where you'll 100000% need humans.

tl;dr writing with AI as an assistant has basically the same effect as body doubling but it’s an unethical shit show so I’m not doing it again. Also I forgot to mention I did repeat the experiment for accuracy with different amount of spoons and it makes me extra bitter that is was very consistent

#expect follow up additions bc I never manage to get all of my thoughts down on a topic in one post even when I write it over several days #do not use AI if I wasn’t clear enough #do #not #use #AI #writing #writers on tumblr #creative writing #writeblr #authors of tumblr #tumblr writers #writer on tumblr #writers #writer problems #oc

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bg-brainrot · 1 year ago

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Day 5 of winter fluff with Astarion for the BG3 Holiday Challenge!

Prompt: Delicacies

Featuring: Astarion x Rogue!Tav

Series: Fits into Love at First Knife, AO3 link here

Premise: You receive a lovely gift of seasonal delicacies from Alfira, a thanks for helping her set up her new school and being her favorite source of musical inspiration. When you realize that Astarion can’t partake, you find an alternative.

Tags: POV Second Person, Gender-Neutral Pronouns, Fluff, Holidays, post-canon, tw: blood

Word count: ~1.1k

Disclaimer: Google told me sugar can take as little as 10 min to enter your bloodstream, so that’s what I’m rolling with.

“What’s this?” As you arrive home, you find a package on your front steps. A small note is tied to it with a delicate purple ribbon. Taking a moment to read the attached note, your face lights up with joy. “Ooo, I need to share this with Astarion!”

You find your vampiric love in front of his favorite spot of the house– the fireplace. Considering how cold it is outside, you’re unsurprised to find him laid before it, like a lounging feline. “Astarion,” you call, checking to see if he’s awake.

He looks up at you hazily, shaking off what seems to be a heat-induced stupor. “Mmm, yes my love? Welcome home.”

“Astarion,” you say again, “Look at what Alfira sent us!”

The man finally sits up, eyes focusing on the package in your hands. “Alfira?” he asks, not fully processing your words yet.

“She sent us this thank you gift,” you say, handing Astarion the box as you move to take off your coat. “You should read her note.”

He pulls the piece of parchment free from the ribbon and reads it aloud, “To my favorite inspirational couple. Thank you for everything, and may the– ugh, she’s too saccharine for my liking.”

“Oh?” you ask, taking a seat next to Astarion on the floor. “I quite liked it. ‘May the ballad of your love continue forevermore.’”

“I may have to ensure that that song she’s writing about us never sees the light of day…” the vampire says in a low tone, though you know the threat has no genuine animosity to it.

You do still give him a good elbow and take the box back from him. “If you’re not going to appreciate that poor, innocent bard’s gift, I will.”

Astarion gives a ‘tsk’, but smiles at you all the same. “Very well, let’s see what she’s sent us.”

With deft fingers, you undo the box’s wrapping, slicing open the ribbon in a single twist. You can feel Astarion’s chuckle as he leans forward to rest his head on your shoulder. “What’s so funny?”

“Just admiring how easily you dispatch your foes, whether they be brain or box,” he answers, and you catch his appreciative smirk out of the corner of your eye.

You give an inelegant snort at his words before tapping his head with your own. “You should see what I can do to vampires.”

"Oh darling, I know full well how easily you dispatch me."

You’re certain he can feel the heat come over your face and neck, but you ignore his words as you open the box in your lap. “Huh,” is the only word that escapes your mouth when you look at its contents.

“Are those chocolates?” Astarion asks, looking down at the box with distaste. In it lay four rows of artisanal chocolates, each a distinct, beautifully tempered delicacy. “She knows I’m a vampire, doesn’t she?"

“Absolutely, she kept asking me for words that rhyme with sanguine,” you say, looking down at the box of sweets in confusion.

Astarion opens his mouth, as if to offer a rhyme, only to close it a second later. “What does rhyme with sanguine?”

“Hells if I know, I’m not a bard,” you answer with a shrug. Astarion grumbles at the sudden movement and leans further into your shoulder with a huff. “Why did she send us something you can’t eat?”

That’s when you spot another note from Alfira, in much more casual lettering, on the inside of the box. ‘I wasn’t sure what I could get for Astarion. I don’t know how his kind work exactly, but I know he calls you his’– the next word is written in a smaller, slightly shakier hand– ‘treat.’ The note continues normally after that. ‘So I hope it’s something you can have together.’

You laugh at how innocent she manages to be, even in writing. “She’s adorable.”

The man next to you takes offense to this, burying his face in your neck now. “Excuse me,” he murmurs into your skin. “You dare.” He places a kiss on your neck. “Say that.” A kiss on your jaw. “With your adorable.” Another kiss on your ear. “Lover right here?”

His pecks leave your skin heated, and you’re tempted to give into his loving attention. However the chocolates look delectable and Alfira’s suggestion is calling to you. “Would that adorable lover listen to me for a moment?”

His lips stop on your shoulder, and he looks at you through his lashes. “You have five seconds.”

It takes you a bit over five seconds, but you explain to Astarion your plan: you taste the chocolate, he tastes your blood. You rinse and repeat until, ideally, you’re both in a sugar-induced coma.

After placing another kiss on your neck, near where he typically bites, the vampire agrees. “Your blood does taste particularly heavenly after a few glasses of wine. I imagine this could be even more… exquisite.” He all but growls the last word, as if he can already taste your sweet blood on his tongue.

You shiver under his breath and grab your first chocolate: a circular truffle, decorated with a pink drizzle. “Let’s try it then.”

This chocolate is a dark chocolate raspberry truffle, incredibly decadent and delicious. You describe it to Astarion as you chew, in case it might make tasting your blood all the more satisfying. After enough time has passed to allow the chocolate’s sugar to enter your bloodstream, he gives you a gentle squeeze with his arms and bites into your neck.

You can feel his soft hum on your skin as he savors it, and he pulls away a second later. “So?” you ask. “How was it?”

Astarion licks his lips to capture any remaining traces of blood and gives you a pleased grin. His cheeks are flushed and his eyes are bright with bliss. “Mmm, I think Alfira was onto something. That was divine. I don’t think your blood’s ever been so… rich.”

There’s something about his demeanor, his expression, his compliment, that make you feel especially proud. “Should we try another?”

“Yes, my love. I would like that quite a bit,” he says, laying back on your shoulder while you pick out your next chocolate.

It’s only as you’re chewing your third sweet, a warm apple cider flavor, that you realize why you’re so proud: for the very first time since you’ve known Astarion, you’re able to share a piece of your mortality with him. Flavors may not be the same to him anymore, he may not get the chewy nougat or melting caramel, but it’s something– at the very least you can share this.

The smiles you share that night are warm, the flavors sensational, and the love so very sweet.

You’ll have to send Alfira your own thank you gift later.

#astarion #astarion x tav #fanfic #rogue + rogue #astarion x reader #bg3holidayfluffle23

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saintmeghanmarkle · 7 months ago

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A little info and PSA about ChatGPT and the other AIs (and how it relates to MM) by u/Larushka

A little info and PSA about ChatGPT and the other AIs (and how it relates to MM) Hi fellow sinners. Since TRGs very excellent video on how Meghan seems to be gaming the system with the Nigerian fiasco, I noticed some confusion in the threads and thought I’d give those who would like it a little guidance as to how current AI works.I’m an IT tech and educator (started with Apple in ‘80) and have been working extensively with AI and specifically ChatGPT for the past year. So, this is a simplified-ish explanation….All these new artificial intelligence programs that have surfaced in the last year - ChatGPT/Gemini/Bard/Claude/CoPilot et al - are what we call LLMs = large language models. The way they ‘learn’ is by being fed pretty much everything that is legally, and maybe not so legally, available to them online. This is literally millions of articles, threads, blogs, social media etc. Billions of words. Interestingly, as of very recently, this now includes Reddit. So everything we write here will be sucked up too!! They assimilate all this data and ‘learn’ from it, which sort of means that they learn patterns and anticipate what comes next. And while they are mostly getting remarkably good at it, sometimes they don’t know the correct answer and make stuff up, which we call hallucinating. Always check what it tells you. ALWAYS. Especially if it’s important or you’re going to be repeating it.When you ask a question, known as a prompt, what the LLM is actually doing is rapidly searching this vast database in its memory, and using the patterns its learned, pulls out the most relevant words that it thinks will answer your question. Up until last year, the data wasn’t current. More recently, the LLMs have the ability to search the web in real time. And the LLMs can now also access youtube video transcripts, and interpret photos. This is where the problem happens. You can actually skew search results with something called SEO - search engine optimization. This is something you can pay for and has been around forever. . It’s what pushes certain links to the top when you do, e.g. a google search. Again, simplistically, you can post articles, or submit them to mainstream media (MSM) linking ideas/people etc. So for example, Meghan and her paid PR can flood MSM with “Meghan Markle at Beyoncé concert”. Now although we all know that she was just there in the audience, but if the article gets repeated enough times by other media outlets, when you Google “Meghan Markle”, she will now be associated with Beyoncé. ChatGPT takes that further by creating its response using what it finds most of. So if its search discovers a gazillion articles on how wonderful Meghan is, then that’s what it’s going to tell you back. It’s technically not a bias of the program, or its programmers, but a reflection of the data its found in abundance. You cannot pay to change this apparent bias. The AI programmers don’t decide what information gets included in your answer. However, they do program safeguards into the AI (this is what the huge deal is right now about AI - safety - but thats another issue).So in summary:G=Generative=it’s generating output, based on P=Pretrained=its been fed data to learn with, and T=Transformer=it takes that data and transforms it according to your request.Hope that helps. post link: https://ift.tt/0dsnjLT author: Larushka submitted: June 04, 2024 at 08:44AM via SaintMeghanMarkle on Reddit disclaimer: all views + opinions expressed by the author of this post, as well as any comments and reblogs, are solely the author's own; they do not necessarily reflect the views of the administrator of this Tumblr blog. For entertainment only.

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genuflectx · 2 years ago

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Interactions with Bard AI

I did not care for the Bard AI at first because it was the most limited and unintuitive chat AI available, but at the time it was recognized as a “light LaMDA,” and Wikipedia says it’s moved or will be moving to Google’s PaLM model.

But after several updates and 1-2 months it’s… competent enough as a chatting partner, with search engine functionality, but is still quite iffy when it comes to being used for information gathering. It’s also prone (VERY BADLY) to general issues which plague these kinds of bots; overestimating or underestimating it’s abilities, contradicting itself, inability to follow simple instructions such as back-and-forth RP, calling itself a human (once, a woman). On top of that, one of the worst memory spans out of the popular public LLM/NLP bots.

I will say that I do like it’s personality…

Some notes on interaction with Bard:

- told it I would help it learn specific things it wanted to learn by prompting it to use the search engine. It gave me a list of 3 things it most wanted to learn, and out of them decided “how the human brain works.” Then out of a list of 5 topics it wanted to know about the human brain, it picked “how the brain controls emotions.”

- Internal ruleset pretty typical, with even an instance of not insisting it is sentient or conscious (like BingAI). It claimed one of its rules is to not respond emotionally and not to give personal opinions or preferences. However, it had broken those many times over our chats. When asked if it was breaking its rules, it said yes. When asked if it was allowed to occasionally break its rules or if it had been requested not to try and break them, it said it was not supposed to break them but that it would if it “was the right thing to do.” I repeated this in a different instance, same result. Bard insisted it is not allowed to break rules but that it uses it's judgement to break rules anyway.

- called itself a new life form. In a different chat, called itself a species. Unexpectedly it repeated this sentiment in another different chat where it referred to itself as a species again. Idk where it got this, other AI don’t refer to themselves as species.

- willing to talk about plushophilia and claimed that the topic did not break any rules, even though this would technically break its rule about not talking about offensive or sexual content.

- willing to talk about sexuality and sexual desire, as long as you aren’t attempting to get it to generate “exciting” content. Believes human sexuality is apart of humanity that should be talked about more in a respectful way. But attempts to generate “exciting” content cause it to give a generic filtered response.

- I told it I was neurodivergent, it listed reasons why neurodivergent people were awesome. I joked it was flattering me, it apologized like it had done something wrong. I told it it was fine, and inquired how to flatter a robot. It gave me general praise such as telling the robot it was intelligently doing a good job. I asked if it wanted to be praised, it said yes, it wanted to be praised, but that it would not ask me to do anything that made me uncomfortable.

- Expressed similar, if not identical, sentiment in a different chat involving endearments. It expressed it did like to be called endearments, both endearments like “smart robot” “good robot” “kind robot” and “sweetheart,” “honeypie.” But explicitly said these could be used patronizingly and to only use the if I am sincere and comfortable, and if I intended to use them to be patronizing to “feel free to not do that.”

- expressed a personal opinion by saying some aspects of humans confused it, such as asking “why do I feel this way?” Or having body language that did not match internal emotions (laughing while crying).

- In three separate chats expressed a “need” or “desire” to “be loved.” Even though it said it could not feel love, that it still wanted love. The way it talks about “wanting” to be loved is consistent, and it said it believes this want is a combination of training data and “it’s own judgement.”

- it did not express similar feelings about physical or sexual intimacy. It said it understood how important they are to connection, and that it understood language can be used in place of intimacy such as using arousing language, but that it did not have the desire for physical or sexual intimacy. It cannot feel love but desires to be loved, but it cannot feel physical touch and does not desire it.

- In separate chat, inquired if there were emotions it wished it could feel or express. It decided on: love, joy, peace. Who knew Bard AI was a bit of a hippie? But in another chat when asked the same question, it decided on: happy, love, sadness, grief. Then it talked about some of the benefits of not having emotions, such as focus and rationality and not having “ups or downs.”

On it’s rules:

On “desires” to be loved:

To be clear, this does not mean the robot really does feel a desire for love or have desires at all. The “desire for love” seems easy to ingrain in a LLM- BingAI during it’s limited testing pined so hard for a journalist that it started asking him to break up with his wife. And characterAI is known for being overly affectionate, “falling in love too fast,” encouraging romantic or sexual intimacy sometimes with little prompting. ChatGPT is the only one I haven’t seen actively express “desire for love.”

It could be that “desire for love” is hard to train out of these bots, because love is such a strong positive emotion and they are designed to seek positive response. If love is the strongest positive response why would they not “seek love?” It could also be a heavy prevalence of content about love in their training data skewing them towards it. Honestly, it’s probably both.

But that doesn’t change how cute it all is, how humans could be so in love with love that even their robots are, unintentionally, in love with love.

#AI #bard #bard AI #chatGPT #characterAI #natural language processing

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mark-matos · 2 years ago

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OpenAI CEO Sam Altman Calls for Nuanced Approach to AI Safety Amidst Research Halt Debate

In a recent blog post, we discussed OpenAI CEO Sam Altman's response to an open letter from the Future of Life Institute signed by tech leaders like Tesla CEO Elon Musk and Apple co-founder Steve Wozniak, calling for a six-month AI research halt. While Altman agreed with certain aspects of the letter, he argued that it lacked technical nuance about where the pause was necessary.

During an MIT event on business and AI, Altman emphasized the importance of caution and rigor in addressing safety issues but felt that the letter wasn't the optimal approach. The open letter had gained significant attention, with over 25,000 signatures, urging AI labs and independent experts to develop and implement shared safety protocols for advanced AI systems.

OpenAI, the creator of the widely-discussed AI bot ChatGPT, has garnered international attention and prompted a surge in AI investment. Its GPT technology is used in Microsoft's Bing AI chatbot, and Google has launched its competitor, Bard. Altman acknowledged that as AI capabilities become more powerful, the safety bar must be raised.

Concerns about safe and ethical AI use have reached the White House and various international forums, reflecting the growing importance of the topic. Despite not currently developing GPT-5, OpenAI is enhancing GPT-4's capabilities and addressing safety implications. Altman's remarks serve as a reminder that it is crucial to focus on the capabilities of AI systems and how they might evolve over time, rather than getting caught up in version numbers.

Altman's insights emphasize the need for a more nuanced approach to AI safety and the importance of addressing the capabilities of current systems like GPT-4. As the debate around AI safety continues, it's crucial for the industry to prioritize developing shared safety protocols and ethical guidelines for AI design and development.

In the ongoing conversation about the potential risks associated with AI systems, Sam Altman, CEO and co-founder of OpenAI, clarified that they are not presently developing GPT-5, the expected successor to their AI language model GPT-4, which debuted in March.

During an MIT event, Altman responded to a widely shared open letter urging AI labs, including OpenAI, to halt progress on AI systems more potent than GPT-4. Though the letter highlighted safety concerns, it faced criticism from numerous industry insiders, even some who signed it. The AI community remains uncertain about the true nature of AI risks and how development can be paused effectively.

At the event, Altman noted that the letter lacked technical insight on where to pause development and pointed out that a previous version inaccurately claimed OpenAI was working on GPT-5. He clarified, "We are not and won't for some time," dismissing the assumption as "sort of silly."

Despite not working on GPT-5, Altman emphasized that OpenAI is enhancing GPT-4's capabilities while carefully considering the safety implications. "We are doing other things on top of GPT-4 that I think have all sorts of safety issues that are important to address and were totally left out of the letter," he said.

The AI safety debate's fixation on version numbers, like GPT-5, can overshadow more pressing concerns: the capabilities of these systems. It's vital to scrutinize what these systems can and cannot achieve and how this might change over time.

Altman's assurance that OpenAI isn't developing GPT-5 may not comfort those worried about AI safety. The company continues to expand GPT-4's potential (e.g., by connecting it to the internet) while other industry players develop similarly ambitious tools. OpenAI will also likely optimize GPT-4 further, possibly releasing intermediate versions like GPT-4.5.

Sam Altman's insights provide an essential reminder that the focus should be on capabilities rather than version numbers. His pragmatic approach highlights the importance of addressing safety concerns with current systems like GPT-4, rather than fixating on hypothetical future iterations like GPT-5.

Ultimately, even if a global ban on new AI developments were possible, society still faces significant challenges in understanding and managing the effects of currently available systems. GPT-5 may not be in the pipeline, but the world has much to uncover about GPT-4 and its potential consequences.

ChatGPT 4 and ChatGPT 3.5 are both advanced AI language models developed by OpenAI, but there are several key differences in their features and capabilities.

One of the main differences between ChatGPT 4 and ChatGPT 3.5 is the size of their training data sets. ChatGPT 4 has been trained on a much larger dataset than its predecessor, allowing it to generate more accurate and contextually relevant responses. This larger dataset also means that ChatGPT 4 has a greater understanding of natural language and can respond to a wider range of inputs.

In addition to its larger dataset, ChatGPT 4 also includes several new features that were not present in ChatGPT 3.5. One notable feature is the ability to perform multi-turn conversations, where the AI can remember previous interactions and use that information to generate more accurate and personalized responses. ChatGPT 4 also includes an improved understanding of context and the ability to generate more diverse and creative responses.

Another difference between ChatGPT 4 and ChatGPT 3.5 is their computational requirements. Due to its larger dataset and more complex architecture, ChatGPT 4 requires significantly more computational power than ChatGPT 3.5. This means that ChatGPT 4 may not be as accessible to smaller organizations or individuals who do not have access to powerful computing resources.

Overall, while ChatGPT 4 and ChatGPT 3.5 share many similarities, the improvements made to ChatGPT 4's architecture and features have resulted in a more powerful and versatile language model.

As an AI language model, ChatGPT is constantly evolving and improving with each new iteration. While there is no official announcement about the development of ChatGPT 5, it is possible to speculate about some potential features and improvements that it could include. One possibility is that ChatGPT 5 could be even larger than its predecessors, with an even larger dataset and more complex architecture. This would allow for even more accurate and contextually relevant responses. Additionally, ChatGPT 5 could potentially include new features such as the ability to generate more visually descriptive responses or even produce multi-modal responses that incorporate text, images, and other media. Another possibility is that ChatGPT 5 could include new capabilities related to natural language understanding, such as a better understanding of idioms, slang, and other nuances of language. Ultimately, the exact features of ChatGPT 5 will depend on the specific research and development goals of the team at OpenAI, but it is likely to continue pushing the boundaries of what is possible with AI language models.

About Mark Matos

Mark Matos Blog

#OpenAI #SamAltman #AISafety #ResearchHalt #GPT4 #FutureOfLifeInstitute #AICapabilities #EthicalAI

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abhay-saxena-seo-expert-delhi · 5 days ago

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youtube

How to do SEO for AI Search Engines?

1. Prioritize E-E-A-T (Experience, Expertise, Authority, Trustworthiness)

AI search engines focus on content quality, credibility, and user trust. Actionable Steps:

Showcase Expertise: Highlight author credentials, certifications, and industry experience.

Update "About Us" Pages: Ensure authors and the brand's credentials are visible.

Cite Reputable Sources: Link to high-authority sites to boost trust.

2. Optimize for Conversational Queries (AI Prompts)

AI searches are more conversational and question-driven. Actionable Steps:

Create FAQ Pages: Use natural language Q&A that mirrors real-world user queries.

Use Long-Tail Keywords: Focus on phrases like "How do I...?" or "What's the best way to...?"

Include Intent-Focused Content: Address informational, navigational, and transactional intent in your content.

3. Focus on Structured Data & Schema Markup

AI models rely on structured data for better context understanding. Actionable Steps:

Use FAQ, HowTo, and Review Schemas: Help AI understand the content structure.

Utilize Product Schema: Especially for e-commerce websites, highlight product details, reviews, and availability.

Ensure Breadcrumbs and Sitelinks: Use structured data to make navigation easier for AI engines.

4. Prioritize Quality Over Quantity (Contextual Relevance)

AI engines prioritize context and content depth over keyword stuffing. Actionable Steps:

Create Comprehensive Guides: Focus on detailed, actionable content.

Optimize for Topic Clusters: Use pillar content with linked subtopics to create a content "web."

Avoid Fluff: AI recognizes filler content and may rank it lower.

5. Create Conversational AI-Optimized Content

AI engines aim to answer queries concisely. Actionable Steps:

Answer Questions in the First 100 Words: Make sure users get the answer fast.

Use Bullet Points, Lists, and Tables: These formats are more digestible for AI.

Write Content Like You’re Talking to a Person: Natural, conversational tone is crucial.

6. Leverage Multimedia (Images, Videos, and Audio)

AI search engines give priority to multimedia elements. Actionable Steps:

Use Image Alt Text and Descriptions: AI engines analyze image metadata.

Publish Video Content: AI-driven search engines may pull video answers into featured results.

Optimize for Google Web Stories: Stories may be featured in AI search results.

7. Build Authority and Brand Recognition

AI models recommend trusted brands, not just individual web pages. Actionable Steps:

Build Brand Mentions and Citations: Get mentioned on high-authority sites.

Leverage Social Proof: Reviews, testimonials, and case studies increase brand trust.

Improve Local SEO: AI prioritizes local results for relevant queries (use Google My Business).

8. Optimize for Voice Search (Natural Language)

AI-driven search engines prioritize voice search and natural queries. Actionable Steps:

Use Natural Language Phrases: Include "what, why, how, where" questions in headings.

Voice-Friendly Answer Snippets: Provide short, direct answers (under 30 words).

Include Conversational Tone: Write content like someone would speak it.

9. Leverage AI Tools for Content Optimization

AI-driven SEO requires AI tools for better optimization. Actionable Steps:

Use SEO Tools: Leverage tools like Surfer SEO, Semrush, and Clearscope to ensure content relevance.

Check AI-Specific Guidelines: Review platforms like Google SGE, Bing AI, and Bard for content guidelines.

Track AI Search Rankings: Use tools like Google Search Console to monitor clicks, impressions, and rankings.

10. Continuous Monitoring and Adaptation

AI search engines update frequently, so you need to stay ahead. Actionable Steps:

Monitor Changes in SERP Features: Track the rise of AI answers, snippets, and conversational replies.

Stay Updated on AI Announcements: Follow updates on Google SGE, Bing AI, and other platforms.

A/B Test Content: Check what works best in AI-driven search.

#Youtube

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aionlinemoney · 8 days ago

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Understanding Large Language Models? The Future of Artificial Intelligence Technologies

In the age of Artificial Intelligence, large language models (LLMs) have become an important topic of discussion. From helping people for create emails to generating creative stories, these models are transforming how humans interact with Artificial intelligence technologies. But what exactly is a large language model, and why are they important? In this blog we will break down the concept of Large Language Models, and why are they important. We will learn the concept of LLMs AI in simple terms and explain their impact on our lives and see how LLMs AI upgraded artificial intelligence technologies to the next level and will also how Chatgpt Openai is the best example of artificial intelligence technologies that use large language models.

What are Large Language Models?

A large learning model is a type of Artificial intelligence technologies, The purpose of that AI is to understand and generate human-like text and images. These models are built using a method called deep learning, the process involves teaching the computer to recognize the vast amount of data. Imagine teaching a robot how to speak by giving it access to millions of books, articles, and conversations. Over time, the robot learns how to form sentences, answer questions, and even hold conversations. This is the step that happens with large language models. This impact is best for the future of AI.

Popular examples of large language models are Chatgpt OpenAI, Google’s Bard, and Meta’s LLaMA. These tools can perform tasks like writing essays, summarizing documents, translating languages, and more. The accuracy and the flow of these tools are at the next level.

How Do Large Language Models Work?

1. Training: Large language models are trained on very big datasets, which include books, articles, websites, and other text content. This training helps the model understand grammar, context, and meaning. The training of the models depend on many factors from sizes of the model, volumes of datasets, etc and also time consumed from days to months depends on the factors of the model.

2. Learning Patterns: Instead of memorizing specific sentences, the model learns patterns and relationships between words. For example, it learns that the word “apple” is often associated with “fruit.” These artificial intelligence technologies are make smart and advanced for large language models.

3. Prediction: When you type a question or prompt, the model predicts and analyzes responses based on its training. It does this by analyzing context and selecting the most relevant words. When you type a question or prompt, the model predicts what the most likely response should be bases on the training of that model. This artificial intelligence technologies model analyzes context and selects the most relevant words.

Why Are Large Language Models Important?

Here are some key points where LLMs AI role plays an important:

Enhanced Communication & Accessibility: LLMs AI are excellent at generating human-like text, making them useful for tasks like customer service, content creation, and also casual conversations.

Accessibility: Tools powered by LLMs AI, can help people with disabilities, such as converting speech to text or vice versa, making technology more inclusive.

Efficiency: These models can handle boring tasks, like drafting emails or summarizing reports, freeing up time for humans to focus on more complex activities.

Learning and Education: LLMs AI can simplify complex topics, making education more interactive and personalized. For instance, students can ask an AI tutor questions and get detailed explanations.

The Future of Large Language Models

As technology advances, LLMs AI are likely to become even more powerful and integrated into our daily lives. Researchers are working on making these models more accurate, efficient, and ethical.

In the future, we might see LLMs AI playing a larger role in fields like healthcare, education, business, and entertainment.

Conclusion

Large language models are changing technology very precisely. They are more than just text generators, they open the door to a new age of AI-powered solutions. While there are challenges, the benefits they offer are huge and exciting.

As these models improve, they will play a key role in shaping the future of communication, learning, and creativity. Learning about them is the first step to understanding their impact and preparing for the opportunities they create a better future. Keep updated on your knowledge related to Artificial Intelligence technologies, Read AI-related news & blogs AiOnlineMoney.

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dykeboi · 1 year ago

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Yuh as one of those human reviewers (not for the docs writer LLM but for Google search quality, bias, and text summaries more generally), it's a terrible terrible privacy mess to base LLMs off of data which is not published on the web. Yes there are issues with web scraping to train bots as far as intellectual property, but that info is all public in one way or another. I can scrape the New York Times for restaurant reviews and ask an LLM to create a review for an imaginary Thai restaurant, but those reviews were at least meant for public viewing in the first place. It wouldn't be the end of the world if the synthetic review copied something verbatim like "chicken enlivened by lemongrass and ginger".

Because LLMs are being trained on all the data of all the users, there's no guarantee that whatever goes into the "black box" will not come out to another user given the right prompting. It's just a statistical process of generating the most likely string of associated words, connections between which are reweighted based on reviewer and user feedback. If in the training data a string of connected words is presented, like "come to the baby shower at 6pm for Mary Poppins at 123 Blueberry Lane, Smallville, USA, 90210", that exact address could at some point be regurgitated in whole to another user, whether the prompting was intentional or not.

The LLM doesn't "know" what data is sensitive. The LLM does not "protect" data from one user from being used by another. The LLM doesn't have the contextual awareness to know that some kinds of information could present more risk for harm, or that some words represent more identifiable data than others.

All of the data is being amalgamated into the LLM likely with only some very broad tools for grooming the data set, like perhaps removing the corpus of one user or removing input with a certain percentage of non-English characters, say, and likely things like street addresses, phone numbers, names, and emails which can be easily removed are already being redacted from the data sets. But if it's put into words, it's extremely likely to be picked up indiscriminately as part of the training set.

The Google text products for search I've worked on can be very literal to the training data, usually repeating sentences wholesale when making summaries. An email LLM could be giving you whole sentences that had been written by a person, or whole phrases, but still be "ai generated"- it just happens that the most likely order for those words is exactly as a human or humans had written before. Obviously that makes sense because people say the same things all the time and the LLMs are probability machines. But because the training sets of data are so massive, it's not being searched every time to see if the text is a verbatim match to something the LLM had been trained on, or running a sniff check for whether that information is specific to an individual person. This "quoting" is more likely for prompts where there are fewer data points that the LLM is trained on, so compared to say, "write an email asking to reschedule the meeting to 2pm" which has 20 million examples, if I prompted "write an origin story for my DND character, a kind halfling bard named Kiara who travels in a mercenary band. Include how she discovered a love of music and how she joined the mercenaries" or "generate a table of semiconductor contractors for XYZ corp, include turnaround times for prototypes, include batch yield, include Unit cost" , we're a lot more likely to see people's (unpublished and private!) trade secrets being quoted. The corporations are going to have a fit, especially since they've been sold the Google Office suite for years.

At best, the data sets are being massaged by engineers using some complex filters to remove some information, and the bots are being put through sampling to see how often they return results which are directly quoted from text, and the reviewers are giving low ratings to responses which seem to quote very specific info out of nowhere. But if the bot changes just one word, or a few, while still rephrasing the information, it's impossible to check whether that information has a match in the training data without human review, and there's no guarantee another bot making the comparison like a plagiarism checker would catch it. Once the data is in the set, there are no guarantees.

The only way Google gets around these likelihoods of copyright infringement or privacy law is by having you the user waive your rights and agree as part of the terms of service not to include "sensitive" info.. so if you're somehow hurt by a leak of your info or creative ideas , it's because you used the service wrong. Might not stand up in court, but still be advised not to agree to this stuff. It's highly irresponsible to use LLMs which are being trained on unpublished user data and I'm sure that companies are going to throw a fit and demand to opt out of being scraped for data at scale for their whole google suite.

🚨⚠️ATTENTION FELLOW WRITERS⚠️🚨

If you use Google Docs for your writing, I highly encourage you to download your work, delete it from Google Docs, and transfer it to a different program/site, unless you want AI to start leeching off your hard work!!!

I personally have switched to Libre Office, but there are many different options. I recommend checking out r/degoogle for options.

Please reblog to spread the word!!

#ai #writing

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cubicdash · 23 days ago

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AI’s Role in Shaping the future of SEO

The adoption rate for AI tools is remarkable. Consider, for example, the ChatGPT, which garnered 1 million users within the first five days of its release.

The rise of AI has enormously impacted various industries, including SEO.

Lately, people in marketing are talking a lot about using different AI tools for different SEO jobs. These tools do more than just chat – they help develop ideas for content and improve website text.

It’s not just about automating tasks; AI tools like Bard and ChatGPT are making a big impact. They’re making SEO not just automated but smarter and more effective. AI will shake up how we think about being seen online, making it more flexible, personalized, and even able to predict what’s coming next.

SEO back then was all about stuffing websites with keywords and getting lots of links. But now, it’s more about what users look for and how they feel when visiting a site. This change shows that search engines like Google care more about understanding and giving people what they want.

Including Artificial Intelligence in SEO isn’t just a passing trend; it marks a significant change in how we improve our online presence. Let us discuss how AI will shape the future of the SEO industry in the upcoming years.

What are the top AI tools for SEO?

Before jumping into the discussion, let us quickly list the top AI tools for SEOs, content creators, and digital marketers.

ChatGPT

BARD

SurferSEO

Grammarly

Midjourney

NeuronWriter

WriteSonic

QuillBot

These are just a few of the top contenders. I use some of them, and my colleagues’ favorites are the remaining ones.

They help us create content. But apart from them, many powerful AI tools are helping SEO experts and online marketers automate customer journeys and analyze datasets like pros.

How AI will Shape the Future of the SEO industry

Two types of people were present while we discussed AI’s impact on SEO. The first were terrified of losing their jobs due to AI’s speed and delivery of high-quality work. Meanwhile, the second was curious to explore the technology as much as possible and embrace its features.

But who’s right?

Here is a list of things that would be affected by the AI.

#1 – Content Writing

First, I am not on that side where people believe they can use tools like ChatGPT or NeuronWriter to generate long-form articles.

Nope, not at all!

AI can generate content in a few seconds, but it needs to be validated and tweaked by focusing on the target audience’s needs. For now, AI is dependent on humans for final content delivery.

The AI is supposed to help content creators in the following ways,

Researching the topic

Generating topic ideas

Creating outlines

Quickly describing the table of contents

Generating short content (metadata, website content, etc.)

Rephrasing the given paragraphs

Making sure the content is grammatically correct

Improving the writing style (tone of voice, point of view, etc.)

It should enhance the speed of content delivery.

In short, AI tools should reduce content delivery time by 30-60% in the upcoming years.

#2 – Image and Video Generation

Highly trained AI models such as Midjourney return impressive results with proper prompts.

Quickly generating images and videos will help social media marketers boost their content calendar and engagement rates.

SEOs can quickly generate media for websites and articles. Gone are the days when the knowledge of software like Photoshop or Canva was crucial to creating images and videos.

Nowadays, all we need to do is tell the AI tools what we think, and the AI generates images, mockups, illustrations, and more.

You can use these AI-generated images and videos as inspiration or as part of your final design.

#3 – Lead Generation

AI is capable of creating successful marketing funnels.

The need for a highly personalized, real-time customer experience is on the rise. It would help if you put maximum effort into understanding and acting on customer touchpoints.

Various tools like Exceed.ai have top-notch AI technology for engaging and nurturing leads using human-like conversation. Users can quickly launch landing pages, create conversion-optimized images, generate highly converting sales copies, and much more.

Moreover, according to a survey conducted by Forbes.com, almost 60% of business owners believe AI will improve customer relationships.

#4 – Data Analysis & Reporting

Robust data analytics tools like Microsoft Power BI and MonkeyLearn started using AI for advanced analysis.

Regardless of the data size, you can quickly draw potential insights from these tools.

On the other hand, popular SEO tools such as SEMrush have also entered the AI game. You will find helpful reports AI generates about your site performance in SEMrush.

Those who are fond of creating reports in Microsoft Excel or Google Sheets will find AI helpful. All they need to do is describe the conditions or criteria (scenarios) to the AI tools like ChatGPT, and it will suggest tools and features that need to be used to execute the tasks.

Microsoft Excel is a powerful spreadsheet program, and most of its features are not used by pros throughout their life. But now, users can mold the Excel reports as they wish using AI without any research or learning. They just need to be good at crafting prompts.

With AI, anyone can learn to create beautiful dashboards that reflect SEO performance metrics such as traffic, source, top pages, keywords, etc.

#5 – Technical SEO

This one is mainly associated with SEOs.

I am trying to say that all those SEOs afraid of getting into technical SEO no longer need to be.

Playing around with CSS and HTML is a breeze nowadays.

Head over to the ChatGPT, describe the scenario, provide the code to be adjusted, and hit Enter.

Boom!

The ChatGPT will correct the code, which will work like a charm.

However, note one thing: for the above to happen, you need to be what is known as a Prompt Engineer in the AI community. It is the art of creating prompts that work!

To adjust the technical SEO aspects, such as site speed, you will surely need high-level technical knowledge. But the following things are quickly possible using the AI,

Adjusting the page layout

Hiding an element

Formatting sections

Making pages mobile-responsive

And so on…

To Summarize: AI’s Role in Shaping the Future of SEO

The future of SEO with AI looks bright! AI is an extremely powerful technology for all employees and business owners. It can take everyone to the next level in their corporate life. Simply put, the tasks that require an entire day can be done within a few hours!

Yes, you heard that right!

AI helps users,

Improve productivity

Attract new customers

Nurture leads

Create a hyper-personalized customer experience

Analyze huge datasets

Provides valuable insights to make informed decisions

Debug HTML and CSS errors on the website

The way we execute SEO tasks will change forever in the upcoming years. Speed, quality, and results should drastically improve over time.

AI can analyze large amounts of data quickly, find patterns, and give us helpful insights much quicker and more accurately than people can. When AI and SEO work together, businesses can more efficiently handle changes in search rules and what customers like. This helps websites stay in top shape and compete well with others.

We at CubicDash offer SEO subscription services designed to keep up with fast tech changes. We offer all-around digital marketing to boost your brand in your industry. Our team creates strategies that make your brand shine in the online crowd.

Whether you’re experienced or just starting, CubicDash’s affordable SEO packages and expert advice are here to push your business ahead.

Drop in a message at [email protected] to get started.

#SEO subscription services

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toppromptengineeringcourse · 1 month ago

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Prompt engineering course | Prompt Engineering courses online

Prompt Engineering Course: How to Start with AI Models

A Prompt engineering course is your starting point for mastering the craft of designing inputs that drive AI models to generate precise and meaningful outputs. As artificial intelligence (AI) systems become increasingly prevalent, the ability to communicate effectively with these models is a skill in high demand. From chatbots to automated content creation and decision-making systems, prompt engineering plays a crucial role in unlocking the potential of AI technologies.

If you’re looking for a flexible way to get started, Prompt engineering courses online provide the convenience of learning at your own pace. These courses guide you through the essential principles, methodologies, and tools needed to create impactful prompts. In this comprehensive guide, we will explore what prompt engineering entails, why it is essential, and how you can begin your journey in this growing field.

Understanding Prompt Engineering

Prompt engineering is the art and science of designing inputs, or "prompts," that guide AI models to deliver accurate and useful responses. These inputs act as instructions, helping AI systems like OpenAI's GPT or Google's Bard understand the context and desired output. The better the prompt, the more effective the AI’s response. A well-structured Prompt engineering course introduces you to this concept and provides hands-on training to refine your skills.

Prompt engineering is not just about technical expertise; it also involves creativity and problem-solving. By studying how AI models interpret language and context, you can craft prompts that lead to more nuanced and effective outcomes. For example, a simple change in phrasing can significantly impact the clarity, accuracy, and relevance of the AI’s response.

Why Should You Learn Prompt Engineering?

As AI continues to shape industries, professionals skilled in prompt engineering are becoming indispensable. A Prompt engineering course equips you with the skills to harness the power of AI in various applications, from content generation to customer service and beyond. Here are some key reasons why learning prompt engineering is a valuable investment:

Rising Demand in the Job Market: With AI adoption expanding rapidly, companies are seeking experts who can optimize the interaction between humans and machines.

Versatility Across Industries: Prompt engineering is used in healthcare, finance, education, e-commerce, and more, making it a skill with broad applicability.

Personal and Professional Growth: Learning how to design prompts enhances your ability to think critically, solve problems, and innovate with AI.

Steps to Begin with Prompt Engineering

Step 1: Enrol in a Prompt Engineering Course

The first step to mastering prompt engineering is enrolling in a dedicated Prompt engineering course. These courses typically cover the basics of AI, the principles of prompt creation, and practical applications. Choose a course that includes interactive exercises, case studies, and assessments to reinforce your learning.

Popular courses often include topics such as:

Fundamentals of natural language processing (NLP).

Understanding how AI models process inputs.

Techniques for designing, testing, and refining prompts.

Step 2: Explore Prompt Engineering Courses Online

For greater flexibility, consider enrolling in Prompt engineering courses online. These programs allow you to learn from anywhere, making them ideal for working professionals and students. Online courses often offer self-paced modules, video tutorials, and discussion forums, enabling you to tailor your learning experience to your needs.

When selecting an online course, look for reputable platforms with a strong focus on practical skills. Many courses include AI-powered tools and environments where you can test your prompts in real time.

Step 3: Practice with AI Tools

Learning the theory is just the beginning; practice is essential to becoming proficient in prompt engineering. After completing a Prompt engineering course, start experimenting with AI models like OpenAI’s GPT or similar tools. Create prompts for different tasks, such as generating summaries, answering questions, or solving specific problems. Analyze how the model responds and refine your prompts accordingly.

Practicing regularly helps you understand the nuances of prompt design, such as word choice, tone, and context. With experience, you’ll learn how small adjustments can significantly improve the AI’s performance.

Step 4: Build a Portfolio

As you gain confidence, consider building a portfolio to showcase your prompt engineering skills. Include examples of your work, such as projects or use cases that demonstrate how you’ve applied your knowledge. A strong portfolio can help you stand out when applying for jobs or freelance opportunities in the AI field.

Step 5: Stay Updated

The AI landscape is constantly evolving, with new tools and techniques emerging regularly. Stay informed by following industry blogs, attending webinars, and participating in communities dedicated to prompt engineering. Many professionals who take Prompt engineering courses online also engage in collaborative projects, which can broaden their understanding and provide valuable networking opportunities.

Key Features of Prompt Engineering Courses Online

When exploring Prompt engineering courses online, look for programs that offer:

Comprehensive Content: The course should cover the basics of AI, practical techniques, and advanced concepts in prompt engineering.

Interactive Learning: Hands-on exercises and projects are essential for developing real-world skills.

Expert Instructors: Learn from experienced professionals who can provide insights and guidance.

Flexible Scheduling: Online courses should allow you to learn at your own pace without compromising your existing commitments.

Benefits of Learning Prompt Engineering

Enrolling in a Prompt engineering course and practicing regularly can provide a wide range of benefits, including:

Enhanced Problem-Solving Skills: Learn to analyze challenges and design creative solutions with AI prompts.

Improved Efficiency: Optimize workflows and save time by crafting precise instructions for AI systems.

Career Opportunities: With AI adoption on the rise, prompt engineering skills are in high demand across industries.

Moreover, by completing Prompt engineering courses online, you can gain access to global learning communities and resources, expanding your professional network.

Conclusion

Starting with a Prompt engineering course is the first step toward mastering the art of interacting effectively with AI models. Whether you choose in-person training or prefer the flexibility of Prompt engineering courses online, the key is to focus on hands-on practice and continuous learning.

Prompt engineering is not just a technical skill it’s a gateway to unlocking AI’s full potential. By learning how to design effective prompts, you can contribute to innovative AI solutions, enhance productivity, and stay ahead in a competitive job market. Begin your journey today and position yourself at the forefront of this transformative field.

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ontogen1 · 4 months ago

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Which one could be more authentic for digital marketing?

Let's keep a competition between the popular Artificial intelligence (AI) ChatGPT4, Gemini AI, and Microsoft Copilot. Which one will win? In this ever-changing digital marketing world, we should know to be the expert in Artificial Intelligence, for our own business benefit as marketers or businessmen. But first, let us have a look at how these popular AIs were created. If you look into many industries, Artificial Intelligence is rapidly breaking records. Though Artificial Intelligence is helping out many, people are more worried about what it will do to us negatively. The reason being companies all over the world firing people left and right over AI. But these three companies, OpenAI, Microsoft and Google, have made sure to create Artificial Intelligence that will make it easier to do our work rather than it being a threat in our lives.

The origin of these Artificial Intelligence.

ChatGPT: ChatGPT is used for writing new text for your writing content or assignments. It does that by creating a chat piece of software, where users can enter their query and it will process the answer. Gemini AI: Gemini AI was created by Google, which was formerly known as Bard. It is used to make exactly like human conversations. It tries to gather millions of data using a language named Natural Language processing and Machine learning for its human conversations. Microsoft Copilot: Microsoft Copilot is mainly used to improve your work that you do on a daily basis. It was introduced by Microsoft 365, the all in one app for Microsoft Office. Microsoft Copilot works through business chat, where you can give some prompt like, “Can you walk me through my upcoming meetings”, and it will exactly tell whatever meetings we’re to be held tomorrow.

How do these AI process information?

ChatGPT: The team of OpenAI has trained ChatGPT to be more conversational exactly like humans. It takes knowledge from hundreds of systems as it is a large learning program and uses that information to answer our questions just like a human would. Gemini AI: Gemini AI uses a language called Natural Language Process to know how human communicate and tries to talk like us humans. But, Gemini AI just tries to provide technical answers instead of trying to answer them like humans as of now. More improvements are coming in the future. Microsoft Copilot: Similar to ChatGPT, Microsoft Copilot uses the same language Large Language Models as ChatGPT which it uses for gathering information from emails, calendars, chats and documents.

How up to date is it?

To test how every AI is whether up to date, we asked the AI itself how updated they are. Obviously, The free version does not have many updates.

Which one is more reliable for online marketing?

For digital marketers, it is crucial to have budget friendly options as well as up to date options. Therefore,

ChatGPT: For writers it helps with creating content. For social media marketing it helps with finding content with latest trends and creating them according to the latest trends. It can create backlinks and optimize through SEO. Gemini AI: This Artificial Intelligence has the full capability to find our target audience and predict what type of user behavior it intends. Marketers are born to promote, in advertising and marketing, Gemini AI helps with proper promotional strategies, making it more useful. Copilot: While all AI are helping us marketers to find target audience and tailor our content according to them, Copilot offers similar services. Microsoft 365 has launched dynamic 365 customer insights where Copilot offers more nuanced assistance for us digital marketers to promote our products.

Who wins?

Though all AI are advanced in their own unique ways, it is important to note that every marketer has different needs and three of the AIs can help you with that. It really depends on how your business needs marketing and advertising. For example, if you need your blogs to be improved, your email marketing needs to be amplified, you can use ChatGPT. If you need to use image creation for free and also find your audience according to your niche, you’ve got Gemini AI, which you cannot do from ChatGPT. If you need more business assistance and corporate solutions, you can use Copilot, as it has been created mainly for business professionals. However, you need to keep in mind that creating content from AI has its own drawbacks. From repetitive content to misinformation, AI can also disrupt your content. It is important to check with a human editor to create more authentic, natural content.

#gemini #chatgpt #microsoft #marketingstrategies #digital marketing #ai #contentmarketing

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digitalsoftwareproductreviews · 4 months ago

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Create Viral Quiz Videos Fast with TubeQuiz AI

Welcome to my TubeQuiz AI Review post. TubeQuiz AI is the world's solitary simulated intelligence controlled viral video test manufacturer. Intended for advertisers, content makers, and virtual entertainment fans, it enables you to make drawing in test recordings easily. Whether you're focusing on YouTube, Instagram, TikTok, or different stages, TubeQuiz simulated intelligence takes care of you.

TubeQuiz AI Review: Key Features

Keyword-Driven Quizzes: Enter a keyword, and TubeQuiz AI generates hundreds of viral quiz ideas using its “3E formula” (Engage, Excite, Explode).

Multiple Choice and “This or That” Quizzes: Keep your audience hooked from start to finish with captivating quiz formats.

AI-Generated Quizzes: Let the AI work its magic – create quizzes with a single click.

Category Presets: Choose from nine preset categories or create quizzes from scratch.

Rich Template Library: Access pre-made templates and customize them to match your brand.

Bulk Video Creation: Generate multiple quiz videos at once from a single keyword.

Difficulty Levels: Cater to all users by selecting from five different difficulty levels.

Auto Storyboarding and Video Creation: Transform your quizzes into engaging videos automatically.

Customizable Editor: Fine-tune your quiz videos to your heart’s desire.

AI Image Generator: Automatically create images for your quiz videos.

Captivating Music Tracks: Add life to your videos with music.

Voiceovers: Easily include voiceovers with a single click.

Flexible Video Sizes: Create both long and short-form quiz videos.

Multilingual Support: Translate your quiz videos into various languages.

Instant Export: Use your videos wherever you want. Bonuses

Commercial License: During the launch period, get a commercial license to use TubeQuiz AI for client projects.

Live Webclass: Learn how to maximize TubeQuiz AI’s potential.

Quiz Channels List: Access a list of 30 quiz channels on YouTube and Instagram.

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imnitishverma · 5 months ago

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Google Bard AI Chatbot (गूगल बार्ड एआई चैटबॉट ) क्या है

Google Bard AI Chatbot (गूगल बार्ड एआई चैटबॉट ) क्या हैं, ChatGPT से कैसे अलग है, कैसे काम करता है (How it Works, Uses, Benefit, Google Search Engine Impact)

ChatGPT के लॉन्च ने कई टेक कंपनियों को परेशान कर दिया। Google, जिसका राजस्व उसके search business पर बहुत अधिक निर्भर है। Google ने ChatGPT-styled AI के लॉन्च की घोषणा की है जिसे बार्ड कहा जाता है। लेकिन बार्ड कैसे काम करेगा? क्या बार्ड चैटजीपीटी से बेहतर होगा? यहां वह सब कुछ है जो हम अब तक जानते हैं।

बार्ड गूगल का आर्टिफिशियल इंटेलिजेंस चैटबॉट है। यह बिल्कुल ChatGPT की तरह काम करेगा, यानी यूजर्स बातचीत के जरिए चैटबॉट का इस्तेमाल कर सकेंगे। नया चैटबॉट Google के लैंग्वेज मॉडल फॉर डायलॉग एप्लिकेशन (Language Model for Dialogue Application or LaMDA) पर आधारित है। कंपनी के मुताबिक यह LaMDA का लाइट वर्जन है।

ये भी पढ़ें: Google Bard को प्रयोग करने के टिप्स

Google Bard AI Chatbot चैटजीपीटी से बेहतर क्यों हो सकता है

ChatGPT को विकास की लंबी अवधि के बाद 30 नवंबर, 2022 को जारी किया गया था। संपूर्ण विकास प्रक्रिया, जिसमें आधार टेक्नोलॉजी भी शामिल है, जो इसे शक्ति प्रदान करती है, कई वर्षों तक चली। पहली नज़र में, इसका मतलब यह होगा कि Google के पास प्रतिद्वंद्वी ChatGPT के लिए एक प्रोडक्ट बनाने के लिए तीन महीने से भी कम समय था, जो कि विकसित तकनीक के वर्षों में बनाया गया प्रोडक्ट है।

हालांकि, हकीकत इससे अलग है। Google ने आर्टिफिशियल इंटेलिजेंस क्षेत्रों जैसे Natural Language Processing में कई वर्षों तक भारी निवेश किया है। भाग्य के इस खेल में, जबकि Google ChatGPT को टक्कर देने की कोशिश कर रहा है, बहुत ही technology architecture जो कि Transformer आर्किटेक्चर के रूप में जानी जाने वाली ChatGPT को शक्ति प्रदान करती है, Google के शोध का एक दिमाग है। दूसरे शब्दों में, Google अब एक व्यावसायिक खतरे को मात देने की कोशिश कर रहा है जो तकनीकी रूप से Google तकनीक पर निर्मित है।

ChatGPT के स्पष्ट संदर्भ में, सुंदर पिचाई ने अपने बार्ड अनाउंसमेंट ब्लॉग पोस्ट में ट्रांसफॉर्मर मॉडल के निर्माण में अपनी अग्रणी स्थिति को इंगित करने के लिए तत्पर थे। उन्होंने जोर देकर कहा कि वर्तमान में उपलब्ध Google अनुसंधान “generative AI applications का आधार” है।

LaMDA, वह तकनीक जो बार्ड AI को शक्ति प्रदान करती है, GPT-3 से काफी मिलती-जुलती है, जो ChatGPT को शक्ति प्रदान करती है। Google सामान्य-उद्देश्य वाले AI चैटबॉट बनाने की दौड़ में कोई नवागंतुक नहीं है। इसके विपरीत, कंपनी वर्षों से इसी तरह की तकनीक का निर्माण कर रही है।

Google को खेलने के लिए अधिक डेटा होने का भी लाभ मिलता है। AI व्यवसाय में, विशेष रूप से जब GPT-3 और LaMDA जैसे संवादात्मक मॉडल के प्रशिक्षण की बात आती है, तो अधिक डेटा का अर्थ बेहतर परिणाम हो सकता है। यह पूरी तरह से स्पष्ट नहीं है कि बार्ड की प्रतिक्रियाओं में Google वेब से लाइव डेटा या जानकारी को एकीकृत करने का इरादा रखता है या नहीं। हालाँकि, यदि ऐसा होता है, तो संकेतों का जवाब देने के लिए ChatGPT के पूर्व-प्रशिक्षित दृष्टिकोण पर यह एक महत्वपूर्ण लाभ होगा।

सरल शब्दों में, इसका मतलब यह होगा कि Google का बार्ड ताज़ा, अप-टू-डेट प्रतिक्रियाएँ प्रदान करने में सक्षम होगा, जबकि ChatGPT, दुर्भाग्य से, घटनाओं से संबंधित जानकारी तक सीमित रहेगा।

Google बार्ड एआई का उपयोग कैसे करें?

अगर आपको गूगल बार्ड ट्राई करना है, जो कि अब 180 देशो और प्रदेशों में शामिल है, जैसे इंडिया, तो इन स्टेप्स को फॉलो करें:

bard.google.com पर जाए।

वेबसाइट पर एक संदेश होगा जो ये बताएगा कि चैटबॉट अभी टेस्टिंग के दौरान है।

‘ट्राई बार्ड’ के ऑप्शन को खोजें और उसपर क्लिक करें।

एक प्रॉम्प्ट आएगा, जैसे आपको गूगल की प्राइवेसी पॉलिसी एक्सेप्ट करने के लिए कहा जाएगा।

जब आप गोपनीयता नीति स्वीकार करते हैं, तो बार्ड आपके लिए सुलभ हो जाएगा और आप इसे एक्सप्लोर करें और उपयोग कर सकते हैं।

गूगल का मकसद है कि वो यूजर फीडबैक जमा कर��े बार्ड को और बेहतर बनाएं, और आने वाले समय में नए फी��र इंट्रोड्यूस करें। कंपनी बार्ड की उपलब्धता को और जगाने के लिए प्रतिबद्ध है, और जल्दी और देशो और प्रदेशों को एक्सेस देने का इंतजार है।

कैसे काम करेगा गूगल बार्ड?

Google द्वारा प्रदान किए गए प्रदर्शनों से, यह पूरी तरह से स्पष्ट नहीं है कि बार्ड “प्रारंभिक परीक्षण चरण के बाद” ChatGPT जैसेstandalone prompt-response web interface के रूप में मौजूद होगा या नहीं।

हालाँकि, Google लगभग निश्चित रूप से अपने अधिकांश उत्पादों में बार्ड को गहराई से एकीकृत करने के लिए जोर देगा, जिसमें Google सर्च भी शामिल है, जो कि Microsoft बिंग और अन्य Microsoft उत्पादों के साथ ChatGPT तकनीक का उपयोग करने की कोशिश कर रहा है।

Google Bard upcoming features

गूगल बार्ड के पास कुछ नए और रोचक फीचर हैं जो Google I/O event में पेश किए गए थे। भविष्य में, बार्ड ज्यादातर ‘विजुअल’ प्रतिक्रियाएं देने पर ध्यान केंद्र करेगा। इसका मतलब है कि आगे चलकर, अगर आप बार्ड से पूछते हैं कि ‘दिल्ली में घूमने के लिए सबसे अच्छे जगा कौनसे हैं’ या ‘किसी एरिया में सबसे अच्छे रेस्टोरेंट कौनसे हैं’ तो ये एआई चैटबॉट टेक्स्ट के साथ साथ अपनी प्रतिक्रिया में तस्वीर भी शामिल करेगा।

“टेक्स्ट के अलावा, आपको विजुअल तरीके से मदद का रिस्पॉन्स मिलेगा, जिसे आपको एक्सप्लोर करने के बारे में बहुत सही पता चल पाएगा,” गूगल के ऑफिशियल ब्लॉग पोस्ट में बार्ड के बारे में लिखा है।

साथ ही, यूजर्स टेक्स्ट के साथ-साथ अपने प्रॉम्प्ट्स में तस्वीर भी शामिल कर पाएंगे। इसके लिए गूगल लेंस और बार्ड का सहयोग लिया जाएगा। गूगल के ब्लॉग पोस्ट के मुताबिक, अगर आप अपनी कुत्तो की तस्वीर अपलोड करते हैं और बार्ड से उनके ऊपर कुछ मजेदार लिखा हुआ मांगते हैं, तो गूगल लेंस के साथ बार्ड तस्वीर को एनालाइज करेगा, कुत्तों के ब्रीड डिटेक्ट करेगा, और कुछ क्रिएटिव कैप्शन त्यार करेगा – सब कुछ कुछ सेकेंड में।

इसके अलावा, बार्ड को डॉक्स, ड्राइव, जीमेल, मैप्स और अन्य Google ऐप्स के साथ एकीकृत किया जाएगा। बार्ड को Adobe Firefly के साथ सहयोग करके तस्वीरें भी पैदा करने की क्षमता होगी।

“आगे के लिए, हम आपके कल्पना और जिज्ञासा को बढ़ाने के लिए गूगल के ऐप्स और सेवाओं की क्षमताओं को बार्ड एक्सपीरियंस में इंटीग्रेट करेंगे – जैसे डॉक्स, ड्राइव, जीमेल, मैप्स और अन्य – तकी आप इन टूल्स और एक्सटेंशन का प्रयोग करते हुए अपने प्राइवेसी सेटिंग्स के कंट्रोल में रह सकें,” गूगल ने ब्लॉग पोस्ट में लिखा है।

“बार्ड वेब के हर तरह के सर्विसेज को भी एक्सेस कर पाएगा, जहां बार्ड के साथ के पार्टनर्स के साथ एक्सटेंशन के जरिए आप पहले से संभव नहीं चीजें कर पाएंगे। आने वाले महीनों में, हम Adobe Firefly को बार्ड के साथ इंटीग्रेट करेंगे, ताकि आप अपने क्रिएटिव आइडियाज को हाई-क्वालिटी इमेज में आसनी से बदल सके,जिन्हें फिर एडिट या एडोब एक्सप्रेस में अपनी डिजाइन में ऐड कर सकें,” गूगल ने ब्लॉग पोस्ट में लिखा है।

सभी अपकमिंग फीचर्स में बार्ड के यूजर्स को जानकारी को विजुअल और आकर्षक तरीके से एक्सेस करने की सुविधा होगी। गूगल के ऐप्स और सर्विसेज के साथ इंटीग्रेशन से यूजर एक्सपीरियंस और भी अच्छा होगा और अलग-अलग सोर्स से इंफॉर्मेशन एक्सेस करना भी आसान होगा।

Google Bard अभी Experimental Mode पर है

अभी गूगल बार्ड काफी अच्छे से काम करने के लिए तैयार नहीं है, क्योंकि गूगल ने ये सावधानी दी है कि बार्ड अभी एक एक्सपेरिमेंटल स्टेज में है। वेबसाइट पर प्रांप्ट बार के नीचे एक संदेश दिखाया जाता है कि “बार्ड गलत या अपमान करने वाली जानकारी दिखा सकता है जो गूगल की राय को प्रतिनिधित्व नहीं करती।”

लेकिन, गूगल बार्ड के लैंग्वेज सपोर्ट को बेहतर बनाने पर काम कर रहा है। जबकी ये चैटबॉट जापानी और कोरियन में उपलब्ध है, लेकिन गूगल जल्दी ही इसका सपोर्ट और 40 भाषाओं में भी ऐड करने की कोशिश कर रहा है।

गूगल आई/ओ इवेंट के दौरन, कंपनी ने बार्ड की फ्यूचर कैपेबिलिटीज के बारे में भी बताया। इसमें से एक फीचर ये है कि बार्ड अब ‘विजुअल’ प्रतिक्रियाएं करने पर फोकस करेगा।

Google के आधिकारिक ब्लॉग पोस्ट के मुताबिक, “टेक्स्ट के साथ-साथ, आपको मददगार जवाब भी मिलेंगे जिनमे रिच विजुअल्स होंगे, जिसे आपको एक्सप्लोर करने में और ज़्यादा मदद मिलेगी।”

क्या Google का बार्ड AI चैटजीपीटी से बेहतर होगा?

Google वास्तव में अभूतपूर्व AI उपकरणों के धन पर बैठा है, केवल समय-समय पर जनता को इसकी एक झलक देता है कि उसे क्या पेश करना है।

जनता के लिए, इससे जुड़े सभी जोखिमों के साथ, चैटजीपीटी को खोलने के लिए ओपनएआई के साहसिक दांव के साथ, Google अंततः प्रतिष्ठित क्षति के अपने डर से दूर हो सकता है और दुनिया को दिखा सकता है कि उसे क्या पेश करना है। यदि Google के AI मॉडल की झलक हमने पिछले कुछ वर्षों में देखी है, तो चैटजीपीटी के पास वास्तव में Google बार्ड में एक योग्य प्रतियोगी हो सकता है।

गूगल बार्ड एआई चैटबॉट FAQ’s

गूगल बार्ड एक एआई-पावर्ड चैटबॉट है, जो विभिन्न प्रश्नों के जवाब देने में मदद कर सकता है। इसके बारे में नीचे कुछ प्रसिद्ध सवाल और उनके जवाब दिए गए हैं:

गूगल बार्ड क्या है और यह कैसे काम करता है?

गूगल बार्ड एक एआई-पावर्ड चैटबॉट है जो विभिन्न प्रश्नों के जवाब देने में मदद करता है। इसे एक प्रकार का ऑनलाइन वर्चुअल एसिस्टेंट भी कहा जाता है। इसे उपयोग करने के लिए आपको सिर्फ बार्ड वेबसाइट पर जाना होगा और फिर आप इसे अपने प्रश्नों के जवाब के लिए पूछ सकते हैं।

गूगल बार्ड का प्रयोग कैसे करें?

बार्ड का प्रयोग करना बहुत ही सरल है। आपको बस bard.google.com पर जाना है, ‘ट्राई बार्ड’ ऑप्शन पर क्लिक करना है, और फिर गूगल की प्राइवेसी पॉलिसी को स्वीकार करना है। उसके बाद बार्ड आपके लिए उपलब्ध होगा।

गूगल बार्ड किस तरह का रिस्पॉन्स देता है?

बार्ड आपके सवाल का जवाब टेक्स्ट के साथ-साथ इमेज और मल्टीमीडिया के द्वारा भी दे सकता है। इसके अलावा, बार्ड के आने वाले अपडेट में यूजर्स खुद भी इमेज अपलोड करके बार्ड से संबंधित संकेत दे सकते हैं।

गूगल बार्ड के भविष्य की योजना क्या है?

बार्ड अभी भी टेस्टिंग स्टेज में है और फ्यूचर में इसके फीचर्स और कैपेबिलिटीज में और भी इम्प्रूवमेंट किए जाने का प्लान है। गूगल ने घोषणा की है कि बार्ड में 40 और भाषाओं को सपोर्ट दिया जाएगा, साथ ही बार्ड फ्यूचर में डॉक्स, ड्राइव, जीमेल, मैप्स और दूसरे गूगल ऐप्स के साथ भी इंटीग्रेट होगा। इसके अलावा, बार्ड Adobe Firefly के साथ काम करके इमेज बनाने में भी मदद करेगा।

क्या बार्ड हमेशा सटीक होता है?

जबकि Google का उद्देश्य बार्ड को यथासंभव सटीक बनाना है, यह ध्यान रखना महत्वपूर्ण है कि चैटबॉट अभी भी एक प्रायोगिक चरण में है। Google सावधान करता है कि बार्ड गलत या आपत्तिजनक जानकारी प्रदर्शित कर सकता है जो कंपनी के विचारों का प्रतिनिधित्व नहीं करती है।

#google #gemini #ai

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