#ai tools 2023

[moneyusdclass]

Take the Future with you, YouTube 2023

In this video, I'm going to give you all Artificial intelligence advantages and how it's changing world as soon as it arrived, especially for youtubers with creating high quality content, SEO content, Youtube Automation.....So,if you're looking this kind of content, take a seat and stick around because it's going to be interesting in taking the Future with you, YouTube Let's dive right in

[god-of-prompt]

Efficient content strategy with ChatGPT

Growing a monetizable audience is HARD.

But it doesn't need to be so time-consuming.

Here's how to make ChatGPT create an incredibly efficient content strategy for you:

📈 Growth content (to get eyeballs)

This is the content that goes viral all the time.

It contains basic information, but that’s why it works so well:

Because it’s beginner-friendly content that's applicable to everyone & promises a “quick fix.”

🧠 Knowledge content (to get fans)

This content educates your audience on specifics.

It teaches your readers 1 of 2 things:

How to get something they desire

How to avoid something they don’t like

When you you solve people’s problems, they start liking you.

💪 Authority content (to get rizz)

This makes your audience trust your expertise.

Because even if someone knows & likes you, they won’t buy from you unless they trust in your ability to help them.

You do this by sharing:

Testimonials

Achievements

Social proof

Copy-paste the prompt below into ChatGPT

Insert 3+ topics you write about

Press enter & watch ChatGPT spit out an amazingly relevant strategy!

Prompt: I want you to create a Content Strategy for me.

A Content Strategy is a document that describes a brand’s social media strategy so it know what to create content around - and what not.

It’s like a North Star for the brand’s content: it’s specific enough to serve as a guiding and reassuring document, but vague enough to leave some room for intepretation.

The brand I want you to create a Content Strategy for is [GIVE CONTEXT],

To create a content strategy, I want you to imagine a Content Strategy Matrix with an x and y axis.

On the x axis, you have the 3 proven content types:

1 Growth content - to get eyeballs

This is the type of content that goes viral on social media all the time.

It’s contains relatively basic information, doesn’t provide any unique value, but that’s precisely why it works so well:

It’s beginner-friendly content that promises a “quick fix”.

2 Knowledge content - to get fans

Knowledge content educates your audience on something specific.

This actionable and informational content teaches your reader one of 2 things:

a) How to get something they really desire

b) How to avoid something they really don’t like

This content works because when you you solve people’s problems, they start liking you.

3 Authority content - to get rizz

Authority content makes your audience trust your expertise.

Because even if someone knows & likes you, they won’t buy from you unless they trust in your ability to help them.

Common ways to do this are:

Sharing testimonials

Sharing achievements

Sharing other social proof

Sharing extremely-specific knowledge content

on the y axis, you have my 3 content buckets, the things I talk about:

1 [TOPIC 1] 2 [TOPIC 2] 3 [TOPIC 3]

—

Now, I want you to create a Content Strategy by filling out the matrix.

Fill out the matrix by applying each of the 3 proven content formats from the x axis to the 3 content buckets on the y axis.

The output should be formatted in a table, so that each resulting matrix field has a bolded headline describing it, with 2 sentences below explaining the component of the content strategy.

😇 If you want to get more prompts, go to https://godofprompt.ai

and supercharge your efficiency with ChatGPT 🔥

#chatgpttips #chatgptprompt #chatgpttips #GodMode #ChatGPTChallenge #promptengineering #bestprompts #aitools #aitoolsforbusiness #aitoolsformarketers #aitoolsforsocialmedia #godofprompt

[parikhinfosolutionpvtltd]

Top 4 (AI) Machine Translation Tools To Use In 2023

Explore the Future of Translation with AI! 🤖

Discover the top 4 AI-powered machine translation tools that deliver rapid and accurate results.💯

Break language barriers and unlock global opportunities! 🌍

[johncarter54]

How to bypass Turnitin AI detection? How to write an essay much faster? Check out best AI paraphrasing tool -

[varunshrimediasolutions]

How Artificial Intelligence Will Change The Future

Introduction:

Welcome to the era where science fiction is becoming a reality. Artificial intelligence (AI) is not just a buzzword anymore; it's a transformative force that is reshaping our world. In this article, we'll embark on a journey through the growth, evolution, and future of AI, exploring the impacts it has on our daily lives and the broader landscape of work and industry.

Growth of AI:

The growth of AI has been nothing short of spectacular. Over the past decade, we've witnessed an explosion in AI applications, from virtual assistants and recommendation systems to advanced machine learning algorithms. This surge is fueled by the increasing availability of big data, powerful computing resources, and breakthroughs in algorithms.

What Did the Future of AI Look Like 10 Years Ago?:

A decade ago, AI was often portrayed in futuristic movies as a force to be feared, with visions of rogue robots taking over the world. However, reality has been much more nuanced. Instead of a dystopian nightmare, AI has become a powerful tool that enhances human capabilities rather than replacing them.

Evolution of AI:

The evolution of AI has been marked by significant milestones. We've transitioned from rule-based systems to machine learning, and now we're entering the era of deep learning and neural networks. These advancements have enabled AI systems to understand, learn, and adapt, pushing the boundaries of what was once thought possible.

The Future of Artificial Intelligence:

Looking ahead, the future of AI holds exciting possibilities. Natural Language Processing (NLP), computer vision, and reinforcement learning are areas where we can expect groundbreaking developments. AI will become more integrated into our daily lives, impacting everything from healthcare and education to entertainment and transportation.

Impact of AI:

The impact of AI is multifaceted. On one hand, AI is enhancing productivity and efficiency across industries. On the other hand, it raises questions about ethics, privacy, and the potential displacement of jobs. Striking the right balance between innovation and responsibility will be crucial as we navigate the uncharted waters of AI.

AI and the Future of Work:

The relationship between AI and the future of work is a topic of intense discussion. While some fear job displacement, others see AI as a catalyst for the creation of new roles and industries. The key lies in upskilling the workforce, fostering a culture of adaptability, and leveraging AI to augment human capabilities.

Conclusion:

The future is bright and brimming with possibilities as we ride the wave of AI advancement. It's essential to approach this transformative force with a combination of excitement and caution, ensuring that we harness its power for the greater good. As AI continues to evolve, it will undoubtedly leave an indelible mark on our world, reshaping the way we live, work, and interact.

Read more of our blogs here 👇

[reallytoosublime]

Kids content creators must ensure their content is engaging enough for younger minds. The content needs to be catchy enough to keep younger children hooked. AI can help you in your content-creating process. In this video. we'll discuss the top 5 AI tools for every kid's content creators. If you're a kids content creator here are the five tools you need to use.

The AI Toolkit Principle: Without These 5 Tools, Your Kids’ Content Creation Won’t Evolve

[youtubemarketing1234]

AI can boost your productivity by enhancing your communication skills and abilities. For instance, use AI tools to improve your writing, grammar, spelling, and tone. Also, use AI to translate languages, summarize texts, paraphrase sentences, and generate captions. These tools can help you communicate more clearly, effectively, and persuasively with your colleagues, clients, and audiences. Here are several ways AI tools can boost productivity:

AI Language - Processing Models:

AI chatbots, or artificial intelligence chatbots, are computer programs designed to simulate human conversation through text or speech. They leverage various AI technologies, including natural language processing, machine learning, and sometimes even deep learning, to understand and respond to user queries and engage in meaningful interactions.

HuggingChat is the open-source alternative, receiving contributions from many developers on Hugging Face, the collaborative AI platform. I've found that the accuracy isn't as high as the two mentioned above, but it's interesting to see how it feels by comparison.

Content Creation AI Tools:

Jasper is a powerful AI content creation platform, favoring users who need a high volume of content. It packs dozens of templates to help you get started, connects to the internet to find research and sources, and also lets you generate images with AI. All your content creation needs are covered here.

Copy.ai uses GPT-3 to help users generate written content, including blog posts, product descriptions, social media posts, and more. It provides templates and suggestions to assist in the content creation process.

Text Enhancement AI Tools:

Grammarly is the mainstream spell- and structure-checking app. It's a complete solution that keeps your English on point, lets you adjust your tone, and suggests shortcuts to simplify wordy or complex phrases. It has plenty of extensions and integrations, so you can use it almost anywhere there's a text box.

Wordtune helps you find plenty of wording alternatives to improve your text. When you input the text you want to check, you can easily browse synonyms, ask to rewrite entire sentences and adapt the suggestions into a final draft.

Video Generation AI Tools:

Descript transcribes your videos into a script. Then, instead of using a timeline to trim the audio and video tracks, you edit the text script. As you do so, the video gets trimmed automatically. The rest of the editing works in a similar way, cutting the time to edit your talking head videos.

Wondershare Filmora has been around for a long time. Now, it also brings to the table a set of AI features that let you remove backgrounds, denoise low-quality clips, and improve sound quality. All this with the classic video editing user experience, so you'll never feel lost.

Runway is a video magic wand. It has a set of interesting features that help you generate video with AI, train your own AI models, and paint parts of frames using text prompts. The learning curve is very rewarding, and the app is growing at a great pace.

[ladyyomiart]

Day 22: "Autism", featuring: Me inside the autism nuclear blast-proof glass box. 📦♾️

This is a metaphor I often use to describe what it feels like to be autistic. 🙃 I was diagnosed at 6 years old, so I've always had a much harder time "getting ahead" in life than people who don't struggle with this disability. 😅

[elkian]

I’m gonna be honest people need to fucking tag AI productions. Not only are they known to trigger people who struggle with unreality and perception, it just feels fucking dishonest to see a beautiful dress or something and have to go back through 15 reblogs to find out it was spat out by an AI program. Between the recent hypermonetization and outright art theft happening rn we have got to get on this.

[jcmarchi]

Monetizing Research for AI Training: The Risks and Best Practices

New Post has been published on https://thedigitalinsider.com/monetizing-research-for-ai-training-the-risks-and-best-practices/

Monetizing Research for AI Training: The Risks and Best Practices

As the demand for generative AI grows, so does the hunger for high-quality data to train these systems. Scholarly publishers have started to monetize their research content to provide training data for large language models (LLMs). While this development is creating a new revenue stream for publishers and empowering generative AI for scientific discoveries, it raises critical questions about the integrity and reliability of the research used. This raises a crucial question: Are the datasets being sold trustworthy, and what implications does this practice have for the scientific community and generative AI models?

The Rise of Monetized Research Deals

Major academic publishers, including Wiley, Taylor & Francis, and others, have reported substantial revenues from licensing their content to tech companies developing generative AI models. For instance, Wiley revealed over $40 million in earnings from such deals this year alone​. These agreements enable AI companies to access diverse and expansive scientific datasets, presumably improving the quality of their AI tools.

The pitch from publishers is straightforward: licensing ensures better AI models, benefitting society while rewarding authors with royalties. This business model benefits both tech companies and publishers. However, the increasing trend to monetize scientific knowledge has risks, mainly when questionable research infiltrates these AI training datasets.

The Shadow of Bogus Research

The scholarly community is no stranger to issues of fraudulent research. Studies suggest many published findings are flawed, biased, or just unreliable. A 2020 survey found that nearly half of researchers reported issues like selective data reporting or poorly designed field studies. In 2023, more than 10,000 papers were retracted due to falsified or unreliable results, a number that continues to climb annually. Experts believe this figure represents the tip of an iceberg, with countless dubious studies circulating in scientific databases​.

The crisis has primarily been driven by “paper mills,” shadow organizations that produce fabricated studies, often in response to academic pressures in regions like China, India, and Eastern Europe. It’s estimated that around 2% of journal submissions globally come from paper mills. These sham papers can resemble legitimate research but are riddled with fictitious data and baseless conclusions. Disturbingly, such papers slip through peer review and end up in respected journals, compromising the reliability of scientific insights​. For instance, during the COVID-19 pandemic, flawed studies on ivermectin falsely suggested its efficacy as a treatment, sowing confusion and delaying effective public health responses. This example highlights the potential harm of disseminating unreliable research, where flawed results can have a significant impact.

Consequences for AI Training and Trust

The implications are profound when LLMs train on databases containing fraudulent or low-quality research. AI models use patterns and relationships within their training data to generate outputs. If the input data is corrupted, the outputs may perpetuate inaccuracies or even amplify them. This risk is particularly high in fields like medicine, where incorrect AI-generated insights could have life-threatening consequences. Moreover, the issue threatens the public’s trust in academia and AI. As publishers continue to make agreements, they must address concerns about the quality of the data being sold. Failure to do so could harm the reputation of the scientific community and undermine AI’s potential societal benefits.

Ensuring Trustworthy Data for AI

Reducing the risks of flawed research disrupting AI training requires a joint effort from publishers, AI companies, developers, researchers and the broader community. Publishers must improve their peer-review process to catch unreliable studies before they make it into training datasets. Offering better rewards for reviewers and setting higher standards can help. An open review process is critical here. It brings more transparency and accountability, helping to build trust in the research. AI companies must be more careful about who they work with when sourcing research for AI training. Choosing publishers and journals with a strong reputation for high-quality, well-reviewed research is key. In this context, it is worth looking closely at a publisher’s track record—like how often they retract papers or how open they are about their review process. Being selective improves the data’s reliability and builds trust across the AI and research communities.

AI developers need to take responsibility for the data they use. This means working with experts, carefully checking research, and comparing results from multiple studies. AI tools themselves can also be designed to identify suspicious data and reduce the risks of questionable research spreading further.

Transparency is also an essential factor. Publishers and AI companies should openly share details about how research is used and where royalties go. Tools like the Generative AI Licensing Agreement Tracker show promise but need broader adoption. Researchers should also have a say in how their work is used. Opt-in policies, like those from Cambridge University Press, offer authors control over their contributions. This builds trust, ensures fairness, and makes authors actively participate in this process.

Moreover, open access to high-quality research should be encouraged to ensure inclusivity and fairness in AI development. Governments, non-profits, and industry players can fund open-access initiatives, reducing reliance on commercial publishers for critical training datasets. On top of that, the AI industry needs clear rules for sourcing data ethically. By focusing on reliable, well-reviewed research, we can build better AI tools, protect scientific integrity, and maintain the public’s trust in science and technology.

The Bottom Line

Monetizing research for AI training presents both opportunities and challenges. While licensing academic content allows for the development of more powerful AI models, it also raises concerns about the integrity and reliability of the data used. Flawed research, including that from “paper mills,” can corrupt AI training datasets, leading to inaccuracies that may undermine public trust and the potential benefits of AI. To ensure AI models are built on trustworthy data, publishers, AI companies, and developers must work together to improve peer review processes, increase transparency, and prioritize high-quality, well-vetted research. By doing so, we can safeguard the future of AI and uphold the integrity of the scientific community.

[digitalmarketingwithzuny]

Sell Smarter, Not Harder: Unleashing the Power of AI in Sales

In today's fast-paced, hyper-competitive business landscape, sales teams are under immense pressure to deliver results. Traditional sales methods, while effective in the past, may no longer suffice in the age of digital transformation. This is where artificial intelligence (AI) can make a significant difference. By leveraging AI-powered tools, sales teams can streamline their processes, improve customer engagement, and ultimately drive revenue growth.

Understanding AI in Sales

AI refers to the development of intelligent systems that can learn, reason, and act autonomously. In the context of sales, AI can be applied in various ways to enhance performance. Some of the key applications include:

Lead Generation and Scoring: AI algorithms can analyze vast datasets to identify potential customers and score them based on their likelihood to convert. This helps sales teams prioritize their efforts and focus on leads with the highest probability of closing deals. Personalized Sales Outreach: AI enables personalized communication by tailoring messages and offers to individual prospects. This improves customer engagement and increases the chances of conversion. Sales Forecasting and Analytics: AI-powered analytics tools can provide valuable insights into sales trends, performance metrics, and customer behavior. This information can be used to optimize sales strategies and make data-driven decisions. Customer Relationship Management (CRM) Automation: AI can automate routine CRM tasks, such as data entry and lead nurturing, freeing up sales reps to focus on building relationships with customers. Benefits of AI in Sales

Implementing AI in sales can offer numerous benefits, including:

Increased Efficiency: AI can automate time-consuming tasks, allowing sales teams to focus on more strategic activities. Improved Lead Quality: AI can help identify high-quality leads, reducing wasted time and resources. Enhanced Customer Experience: Personalized communication and targeted offers can lead to a better customer experience. Data-Driven Decision Making: AI provides valuable insights into sales performance, enabling data-driven decision making. Boosted Revenue: By improving efficiency, lead quality, and customer engagement, AI can ultimately drive revenue growth. Implementing AI in Your Sales Strategy

Here are some steps to consider when implementing AI in your sales strategy:

Identify Your Needs: Assess your current sales processes and identify areas where AI can add value. Choose the Right Tools: Select AI-powered tools that align with your specific needs and budget. Train Your Team: Provide your sales team with the necessary training to effectively use AI tools. Start Small and Scale: Begin with a pilot project to test the benefits of AI and gradually expand its use as you see results. Conclusion

AI is no longer a futuristic concept; it is a reality that sales teams can leverage to gain a competitive advantage. By embracing AI-powered tools, sales teams can sell smarter, not harder, and achieve sustainable growth in today's challenging market.

[sivasaikrishna]

How Is 10Web AI Different From Traditional Website Builders?

Think of any traditional website builder like Gutenberg or Elementor. They simplify and accelerate website creation by giving you drag-and-drop content blocks, design elements, and templates to build your site – no coding skills or design experience needed.

10Web.io takes this a level higher with generative AI technology. It has all the qualities of a conventional website builder. But instead of leaving you with a set of tools, 10Web uses AI technology to give you a head start by generating modern website designs tailored to your needs.

You only need to answer a few simple questions about your project to get the ball rolling. Visit Official Website : https://10web.io/?_from=websites

10Web’s AI models have been trained on hundreds of thousands of web designs for different business types and goals. When you describe your project, it instantly produces the most relevant and high-quality design suggestions based on its vast database. No more staring at a blank screen for hours, wondering where to start.

[manyfitsseo]

Best Free AI Tools in 2024: Transform Your Digital Marketing Efforts with AI-driven Solutions

Discover the best free AI tools in 2024 that can revolutionize your digital marketing strategy. Elevate your marketing automation and deliver compelling content with the power of artificial intelligence.

[johncarter54]

Write essays and do your homeworks much faster by using AI powered tool NetusAI. Less work - more time for your life!