#google vs chat gpt

[youtubevideopromotion]

They explore the impact of AI on marketing, the changing job landscape, and the importance of balancing AI with human skills. They also provide valuable insights on how to prepare and educate yourself to stay ahead in the AI-powered marketing arena. For more click here

[euclideesoftwaresolutions]

 All to Know About Google’s Ai Chatbot

Since it was made public last year, Microsoft-backed google bard ai vs chat gpt has taken the tech world by storm, with people all over the world getting creative with prompts. Conversational chatbots can generate anything from poetry and novels to jokes and film scripts.

[digitalmarketingservicesusauk]

What is the difference between Chat GPT and Google Bard?

Artificial Intelligence (AI) never fails to impress people. One of its recent innovations, including the uncanny Chabot named Chat GPT, has been taking the internet by storm since the end of 2022. Undoubtedly, Chat GPT is a hot topic right now. From promptly answering queries to creating quality content, Chat GPT is no less than a gold mine for businesses. This time and cost-cutting option have created endless possibilities for digital marketers and businesses to fulfill their content needs.

Soon after the launch of Chat GPT, Google announced its AI chat service, Bard, a direct competition to Open AI's Chat GPT. Both Chat GPT and Google Bard are AI language models, but there are some key differences.

What is Chat GPT?

Chat GPT, launched by OpenAI in November 2022, is an AI-based Chabot system. The AI Chabot can stimulate real conversations with a human, search the internet for information, answer queries, and come up with ideas and more. Chat GPT has received tons of attention since its launch in November 2022, and for good reasons. Chat GPT is powered by large amounts of data and computing techniques to make predictions to string words together in a meaningful way. Even Microsoft saw its potential and promptly invested $10 billion into OpenAI.

How does Chat GPT work?

Chat GPT is supported by a sophisticated algorithm called a large language model. These algorithms are incorporated with massive amounts of textual data that allows them to respond to prompts in a realistic, human-like fashion, a computational system known as natural language processing.

How do you use Chat GPT?

Chat GPT is highly effective and easy to use. To get started, first, you'll need to create an OpenAI account. It is easy to set up and only requires mentioning an email address and phone number. Once you fill in the required details, you'll be able to use Chat GPT and the company's other tools, like DALL E 2, an AI art tool that creates illustrations based on text prompts.

Just like a normal messaging app or Chabot, ChatGPT includes a text field where you can type in your questions or requests. All you need to do is give the Chabot a prompt, and it will respond within seconds.

For example, the questions you ask from Chat GPT can range from basic to difficult such as 'Why is the sky blue?' or 'Can you write an introductory video script for my company?' This Chabot is ready to answer any question, so feel free to get creative.

However, using Chat GPT can be a bit frustrating for the average user. Using Chat GPT requires an approach and knowledge of the kind of questions you should ask the AI Chatbot. Moving ahead, we are going to discuss how you should go about using the Chat GPT.

Let’s take a look at the key differences between Google Bard and Chat GPT:

·         Google Bard is designed to gather information from data and sources already available on the internet. On the other hand, Chat GPT's knowledge is limited to events through 2021. Bard will access up-to-date information and provide more current information.

·         Google bard has access to a plethora of data and can be integrated with Google’s search engine, giving it a competitive edge over Chat GPT, which is backed by Microsoft.

·         Chat GPT is prone to making up facts and stories. On the other hand, Google Bard is thought to provide more accurate data to users.

[shubhammaantech123]

Google Bard vs Chat GPT

Google BARD Vs Chat GPT is both language models designed to generate human-like responses to user queries. While Google BARD is a large-scale generative language model trained by Google, ChatGPT is a variant of OpenAI's GPT model, which is trained to engage in human-like conversations. Visit our website to learn more about both language models.

[umeacadmy]

Google Bard vs Chat GPT

Google BARD Vs Chat GPT is both language models designed to generate human-like responses to user queries. While Google BARD is a large-scale generative language model trained by Google, ChatGPT is a variant of OpenAI's GPT model, which is trained to engage in human-like conversations. Visit our website to learn more about both language models.

[skytrustitdelhi]

Microsoft Open AI ChatGPT vs Google Bard – A competitive AI battle

Over the last several months, Microsoft Open AI has dominated the AI sphere with its newly launched tool, ChatGPT.

[techupdate01]

ChatGPT is a state-of-the-art, open-source chatbot developed by OpenAI. 🔥🔥chat gpt replace google ? Click and read🔥🔥🔥🔥🔥🔥🔥🔥🔥🔥.

It is based on the GPT-3 ai chat(Generative Pre-trained Transformer 3) language model, which has been trained on a massive amount of data and is capable of generating human-like text.

[trendingguruji]

ChatGPT was first introduced by OpenAI in 2019. The Generative Pre-Training Transformer is a powerful tool that can generate conversations that are human-like, in terms of sentiment analysis.

[drawlead]

What difference between Google Bard and Chat GPT?

What is the difference between Google AI Bard and Chat GPT?

Recently, Google launched Bard a direct rival to Open AI’s Chat GPT for AI chat services. Bard is being tested and will be available to everyone in the following weeks. Let’s examine the distinctions between Chat GPT and Google Bard.

As more businesses use AI in their daily operations, artificial intelligence (AI) has grown in importance as a tool in contemporary society. Industries like healthcare, finance, retail, and transportation are using AI technologies to automate repetitive operations, improve decision-making, and improve customer experiences. For instance, language-based models have altered the way humans operate, and AI-powered chatbots have become a common way for businesses to communicate with clients. ChatGPT API Elon Musk vs Sundar Pichai this blog gives more information about chatgpt and more on

What is Chatgpt?

Chat GPT is a massive language generation model that has been trained to produce writing that resembles that of a person. It is adaptable to several natural language processing tasks, including question-answering, translation, and text summarization. GPT is renowned for its capacity to produce content that is both logical and contextually relevant, but it may also frequently make unbalanced or wildly meaningless material.

What is LAMDA?

Google created Bard, a LAMDA-powered conversational AI (Language Model for Dialogue Applications). Google’s AI chatbot Bard aspires to combine human knowledge’s range with the power, intelligence, and creativity of its massive language models. To provide unique and accurate responses, Bard will make use of the abundance of data that is accessible online. The public will be able to use Bard in the upcoming weeks; testing is now underway.

Chatgpt vs google bard

Though both Bard and Chat GPT are language-based conversational AI models, there are significant differences in their design and intended use. read more

[technonews-biz]

Top 5 AIs that speed up your coding

AI-based coding assistants have become an integral part of the development process, they help you generate code, understand code, search for projects and perform various tasks with the help of hints and code. Cloud-based IDE platforms like Google Colab and Deepnote also offer AI-based coding features to help generate code and solve problems.

In this article, we will highlight five AI-powered coding assistants that deserve a closer look. All of them come with VSCode extensions and are easy to customise. Just install them and you can get used to a new, simpler way of programming.

1. GitHub Copilot

GitHub Copilot is an artificial intelligence tool that helps programmers write code more efficiently. By installing the Copilot extension in VS Code, developers will be able to generate and understand code, as well as customise the editor's autocomplete features. Compared to other tools, Copilot is a mature product that provides the most relevant and accurate advice. The new chat feature allows developers to generate, modify and improve code using natural language, even when they are on the go. In addition, the integrated chat allows you to generate code directly in a text editor. The only downside to GitHub Copilot is that it is a paid tool. However, if you're a full-time developer or software engineer, a few dollars a month is a great deal.

2. Codeium

Codeium is a widely known free tool that has recently become popular. It offers most of the features of GitHub Copilot, and the best part is that it's free for personal use. Using Codeium, you can ask a question about a file and it will read it and give you an appropriate answer. You can also ask to rewrite, explain, improve or fix the code. There is also an autocomplete function, but since Codeium's autocomplete is not always accurate, it is recommended that you use the old Python autocomplete function. The only drawback of Codeium is that it doesn't always generate the latest version of the code.

3. Cody

Cody is an artificial intelligence-based code writing assistant designed to increase the speed of writing and understanding code. It offers similar features to Codeium such as chat, commands, code interpretation and auto-complete. It is available in both free and professional versions. I've been using Cody for almost two months now, and it worked very smoothly until I started using it for data science and machine learning projects. Unfortunately, I found that the code it generated was inaccurate because it didn't take context into account. However, based on personal experience with Codeium and Cody, I found that Cody could not understand the code and sometimes produced inaccurate autocomplete suggestions. Therefore, I prefer Codeium over Cody.

4. Code GPT

I recently discovered Code GPT: Chat & AI Agents, which integrates all the latest large-scale language models and offers a number of features that impressed me. This extension offers many features including AI chat support, code interpretation, error checking and auto-complete. This extension is free to use if you have access to the OpenAI API or other platforms. I tested it with Google AI, Anthiopic AI, and the OpenAI API. The Claude 2.1 API is fast, but the accuracy is low. To make it more usable, developers need to reduce autocomplete latency and solve the problem of generating inaccurate responses. One solution is to use Codeium for autocomplete and CodeGPT for code generation and problem solving.

5. Tabnine

Tabnine is an artificial intelligence coding assistant that speeds up and simplifies the software development process. It also ensures code privacy, security and compliance. Tabnine is currently used by over a million developers across industries and has been downloaded 7 million times on VSCode. There is a free version of Tabnine, but it may not be as effective as the Pro version. If you need better coding help, it's worth considering purchasing the Pro version. However, the autocomplete feature in the free version is still fast and accurate. If you want to try Tabnine, you can take advantage of the 90-day trial version. Keep in mind that you will need to enter your payment details to access the trial version.

Summary

Code assistants with artificial intelligence are revolutionising software development by increasing programmers' efficiency and productivity. In this article, we've outlined the top five AI-powered code assistants that we think everyone who struggles with logic, formatting, and testing code should use.

Implementing one or more of these assistants into your workflow will increase productivity, generate and understand code faster, and solve problems faster so you can focus more on coding. Ultimately, these AI assistants will help developers spend less time working on code, which means more time developing great software. Try them out on your next project!

[drsorrell]

For Online Tech Writing Students: Intro + Lit Review Notes (11.14.24)

Link to Google Doc (content pasted below):

Formatting

Headings: Follow the heading formatting guidelines described in my comment at the top of the Project 5 doc, as well as on the Purude APA site.

APA: Use APA style. There are many free sites that will do this for you, but the main gist for parenthetical citation is parentheses with citation with author’s last name, the date of publication, and a page number preceded by “p.” There is a “References” list instead of a “Works Cited” like APA, and this is differently formatted than MLA, if that is what you are used to.

Writing Style and Organization: Paper vs. Proposal: Follow the formatting guidelines. The various sections of a proposal are designed to make information quickly accessible, not to take the reader “on a journey of discovery,” as I often say to my Core Writing students. Three parafgraphs without a subheading is about the limit for this kind of document.

Introduction 

Problem: Grab reader’s attention with the problem as problem first.

Problem: Don’t use lack of a specific solution as the problem. That will only convince those who might already agree with you!

Problem: Don’t use paradigm as problem. For example, access to health care is a solution, not a problem. See previous note.

Literature Review 

Paradigm: One of your paradigm-theory sources should address the bigger current consensus on the solution. If you are discussing student stress, then make sure you address what the general consensus on dealing with stress is now. If you make all of your paradigm-theory sources population-specific, then you will alienate potential patrosn who might not be a part of that population at the moment!

Models: You should have at least five models at this point. Example: Your topic is the quality of food on campus. Possible models are what these places are doing:

Penn State

IUP

Penn State-Greensburg

Seton Hill

SVC: The last model should always be what is already going on at the place in question because your evaluation of this kodelk will lead directly into your plan, and the Plan section comes after the Literature Review.

AI

I’m seeing a lot more of what looks like AI-generated text across my classes at thjis point in the semester. Please don’t do this. AI-generated text may sound polished, but is often too polished and kind of empty, like a politician’s words. Feel free to use AI to help you with research, organization, citation, and lots of other things, but don’t let it write for you.

For example, this is Chat GPT’s version of an AI warning for college research-writing students. I highlighted many things that let me know right away that this is AI: “Dear students, As you embark on your college-level research and writing journey, you’ll likely encounter various tools designed to help with organization, brainstorming, and data gathering. Many students are now exploring AI-based tools to assist with research planning, structuring arguments, and even locating credible sources. While these tools can enhance your learning and productivity, it’s essential to set clear boundaries on how you use them. AI can be beneficial for generating ideas, helping you outline your arguments, or even locating relevant sources. However, relying on AI to write your papers can undermine your learning and put you at risk for academic misconduct. When you turn to AI for actual writing, the work often lacks genuine analysis, depth, and originality – elements that your professors are looking for and that can only come from your unique engagement with the material. Additionally, AI-generated writing tends to miss the authenticity and personal voice that are vital to strong academic writing. Using AI as an aid rather than a replacement for your writing will deepen your understanding of your subject, improve your writing skills, and ensure your work reflects your own ideas. Remember: the knowledge and skills you gain from doing the writing yourself are irreplaceable. So, let AI be your assistant, but not your author.”

[uniathena7]

ChatGPT 4 vs Gemini: Which AI Model Best Fits Your Needs?

Two of the top generative AI programs currently available are OpenAI’s ChatGPT-4 and Google’s Gemini AI. Both offer intuitive interfaces that allow users to create content, ask questions, chat, and troubleshoot problems. Although they share similarities, each tool has unique strengths, making them valuable for different tasks. Here, we’ll dive into what each program offers, their key differences, and which one might suit your needs best.

What is ChatGPT-4?

ChatGPT-4 is a conversational AI developed by OpenAI. Think of it as an advanced program trained on a massive amount of data, designed to understand and respond to users in a conversational manner. It’s like talking to a friendly, knowledgeable assistant who’s ready to help with almost anything.

Whether you need help with a question, want to brainstorm ideas, or just want to chat, ChatGPT-4 is there to provide relevant, thoughtful responses. It excels at natural language understanding and can handle a wide range of topics, from casual conversations to more complex inquiries. Many users find it especially helpful for tasks like summarizing content, generating text, answering questions, and even writing short stories.

In short, ChatGPT-4 is a go-to choice for anyone looking for a well-rounded conversational AI capable of handling a wide variety of requests.

What is Gemini AI?

Google’s Gemini AI is another powerful player in the generative AI landscape, designed to assist computers in understanding complex concepts and making informed predictions. Gemini employs advanced AI techniques that enable it to think, analyze, and “learn” in ways that mimic human cognition, though it’s still a computer at heart.

Gemini AI is especially skilled at tasks that require deeper understanding and reasoning, such as tackling complex math or science problems or processing large sets of data to find patterns. In practical applications, Gemini AI can assist with language understanding, image recognition, and more, helping users gain insights from information quickly and effectively.

For those needing support with tasks that involve analyzing large volumes of data or handling complex ideas, Gemini can be a valuable assistant, bringing an extra layer of intelligence to the table.

Is Gemini Better than GPT-4?

Both ChatGPT-4 and Gemini AI offer unique advantages, each serving different purposes based on user needs. Here’s how they compare:

Strengths in Reasoning and Problem-Solving:

Gemini: Known for its ability to understand complex concepts, Gemini shines in areas like logical reasoning, data analysis, and deep thinking. It’s like having a very analytical, problem-solving assistant who can break down difficult subjects and provide clear, insightful feedback. Gemini is particularly strong in areas that demand deep analysis or technical knowledge.

ChatGPT-4: While GPT-4 is also a powerful tool, its specialty lies in generating human-like text and understanding conversational language. It’s great for answering questions, summarizing text, and holding engaging conversations. For tasks that involve explaining topics in simple terms or writing with a natural tone, GPT-4 may be more suitable.

Language Generation and Text Composition:

ChatGPT-4 stands out for its fluid and human-like writing capabilities. It’s perfect for creating articles, and stories, and even writing assistance for emails or social media content.

Gemini also supports natural language processing but is more geared toward technical tasks, where it can offer precise and calculated answers.

Key Differences: ChatGPT-4 vs. Gemini AI

Aside from differences in language models and underlying data sources, ChatGPT-4 and Gemini AI vary in other significant ways:

Conversational Learning: ChatGPT-4 has strong conversational abilities, holding context across interactions, which makes it feel more engaging and lifelike in long discussions. Gemini AI has some conversational abilities, but they’re generally more limited in scope.

Multiple Drafts: Gemini provides a “View Drafts” feature, letting users see multiple versions of responses to the same question. ChatGPT-4, however, typically provides a single, refined response to each query.

Editing Responses: With Gemini, users can edit responses even after they’ve been generated. ChatGPT-4 does not currently offer this feature, so responses remain static once submitted.

Real-Time Internet Access: ChatGPT-4 recently added real-time internet access, though this feature is only available in its paid version. Gemini, by contrast, always could access the internet in real-time, providing up-to-date responses without the need for premium subscriptions.

Image Recognition: Gemini AI includes built-in internet image search capabilities, allowing it to source relevant pictures as part of its response. ChatGPT Plus and other advanced versions now support some image-generation capabilities, but real-time image search and access are primarily available through Gemini.

Text-to-Speech: Gemini includes a text-to-speech feature, making it possible to read responses aloud. ChatGPT-4 currently lacks native text-to-speech abilities.

Which AI Model is Better for You?

If you’re wondering whether to use Gemini or GPT-4, consider your needs. Here’s a quick guide:

For Advanced Problem-Solving: If you need help with complex problem-solving, deep reasoning, or analyzing data, Gemini may be the better choice. Its strength lies in tackling subjects that require in-depth analysis.

For Everyday Communication: If you’re looking for assistance with casual conversations, simple explanations, or content creation, ChatGPT-4 is likely to be more effective. Its natural tone and conversational ease make it ideal for everyday use.

Accessing Real-Time Information: If real-time internet access is a priority, Gemini’s continuous access could be a big advantage, while ChatGPT-4’s live browsing feature is only available to premium users.

Bonus Tips: Optimizing Your AI Experience

Free vs. Premium Access: Both Gemini and ChatGPT-4 offer free versions, but the features available are more limited compared to their premium counterparts. Gemini’s regular version is free with some limitations, while ChatGPT-4’s most advanced features require a subscription.

Efficiency and Speed: Many users find ChatGPT-4 more responsive, especially for quick, everyday tasks. Its streamlined interface allows for swift interactions, which can be a major benefit when you’re pressed for time.

Conclusion

We hope this comparison gives you a clearer picture of how ChatGPT-4 and Gemini AI differ. Each has its advantages and is suitable for different needs. Whether you’re tackling complex projects with Gemini or enjoying seamless conversations with ChatGPT-4, both tools represent powerful advancements in AI technology.

If you’re eager to make the most out of ChatGPT-4, consider enrolling in UniAthena’s “Mastering ChatGPT” course to fully unlock its potential. And for those in Nigeria, you’ll find this course particularly useful, as it’s tailored to enhance your AI skills, helping you to stay ahead in a fast-evolving digital landscape.

Make sure to explore additional courses, too, to get the most out of the latest in AI technology.

[news-buzz]

GitHub Copilot strikes past OpenAI fashions to help Claude 3.5, Gemini

The big language model-based coding assistant GitHub Copilot will change from utilizing solely OpenAI’s GPT fashions to a multi-model strategy over the approaching weeks, GitHub CEO Thomas Dohmke introduced in a submit on GitHub’s weblog. First, Anthropic’s Claude 3.5 Sonnet will roll out to Copilot Chat’s internet and VS Code interfaces over the following few weeks. Google’s Gemini 1.5…

[zoey-angel]

Okay so. I hate AI profoundly. I think the ability of AI to steal art, faces, voices and generate images and deepfake is deeply disturbing and probably dystopian in the long run. BUT.

Literally like. Chat GPT is a good tool. It's not good for people who don't know how to fact check, because it's flawed, and can be stupid + make mistakes and insist on them. But if you make the extra step of, I dunno, thinking for yourself? Verifying the info with google? You can use it and it'll help you.

The fact that some lawyer asked chatgpt to defend their client and it came up with bullshit is the lawyer's fault. That's not how you use chatgpt... The lawyer should have asked "what does the law say about x in my state" And then ask for specific passes supporting the answer, and THEN go OPEN THE PASSES which are available online. Read around them as well, look for loopholes etc, and for his own defense.

Chatgpt should've been used as a librarian, finding what could be useful for his case, to save him from having to flip through countless law files in search of anything relevant!

Maybe to expand on that, ask chatgpt if there are any past similar cases he can refer to, and then look them up online to verify chatgpt wasn't making shit up, and actually read all that is to be read on those 😵‍💫

The greatness of the AI here is not that it can create stuff, rather that it can look for things for you.

I recently used it in a paper. For what, you ask? Shakespearean literature. I wanted to draw examples from the text, but, I don't have every scene from every single shakespearean play in my head? And I didn't want to google "list of x demonstrated in plays by Shakespeare" because firstly that's a niche search, secondly if I did find someone else's summary and drew exactly their examples it would feel like plagiarism, thirdly because there's no promise google would come up with an extensive list, and unlikely google, I could tell chatgpt "how about ones where x ends in y?" And it gave those to me right away.

So... I went and opened the plays, where chatgpt said I could find my examples, and lo and behold they were there. I read over the scenes again, and chose what was relevant for my paper. Perfect!

Did I ask chatgpt to write me the entire paper? No. That's not how you use chatgpt.

I use chatgpt for programming too, because anyone who wants me to start diving into stackoverflow for a Hunan's explanation of the syntax I should use in my particular function, doesn't understand even remotely how time consuming that can be. If I need to build a program with x y z f g m l k and something that makes sure there's no overflow and another thing that checks if the input is valid and ANOTHER which reacts if it isn't valid and- no. How many hours am I meant to spend googling? I won't.

Instead of all that, I ask chatgpt what a function checking x would look like in my programming language, and then gently guide and correct it. "What if the input is over y bits?" "How do I do the same thing for strings?" "Oh you shifted the string left here. Why?" Etc. Then I run the code in VS and it's fine! It works.

In some time I'll be less of a noob, I'm still learning how to code... So far I know a manageable amount of python and C, but C is HARD aight? And so is fucking assembly which I'm forced to study for uni. I'm also occasionally required to work with matlab, rarely java or html, all of which I NEVER studied, and I can't start pulling all of it out of my ass directly, I need some coaching which chatgpt does.

Tl;dr great tool, people don't know how to use it. It's a screwdriver people are trying to hammer nails with.