Showing posts with label Google AI. Show all posts
Showing posts with label Google AI. Show all posts

August 23, 2024

Google Launched CloudVertexBot AI Crawler for Commerical Users

On August 20, 2024, Google launched the Vertex AI Crawler for commercial users. With the help of this new AI crawler, webmasters can identify website crawler traffic. Vertex AI uses the Google-CloudVertexBot and Googlebot user agents but will only work when site admins make a request.

If you don't know what Vertex AI is, now is your chance to learn everything about it.

Google-CloudVertexBot Vertex AI Crawler: eAskme
Google-CloudVertexBot Vertex AI Crawler: eAskme

Google Vertex AI Crawler:

Vertex AI is a full-fledged platform for building and testing generative AIs. It uses AI Studio, foundation models, Gemini Pro, and Gemini Flash. Google is offering $300 worth of free credits to new customers.

Google has also launched a new crawler named Google-CloudVertexBot.

What Does It Do?

Google-CloudVertexBot crawls websites for AI clients. In other words, it operates differently from traditional crawlers.

While other Googlebot crawlers automatically crawl websites, Google-CloudVertexBot only works when an AI user makes a request. It has multiple data stores, but each data store can save only one type of data.

There are two major types of website crawling and indexing:

  • Basic
  • Advanced

According to Google’s documentation, Vertex AI data stores access data from indexed websites. Commercial users can set up domains and search for crawlers.

Basic Website Crawling and Indexing:

Vertex AI uses a fraction of indexed content to crawl.

Advanced Website Crawling and Indexing:

Google-CloudVertexBot uses advanced crawling and indexing techniques. It is necessary to verify domain ownership before making a crawl request. There is also a crawl and indexing budget. The AI crawler will only crawl the webmasters’ websites on request and will not access other websites that are not verified by the user.

Conclusion:

The Vertex AI crawler is different from the Googlebot crawler that automatically crawls and indexes websites. It is available only for commercial users and will only crawl websites verified by the account holder.

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August 18, 2024

Google AI Overviews Launched in 6 Countries

Google search results now display AI Overviews results in 6 countries. It is also improving AI Overviews' language capabilities with in-text links. A new save function was also introduced.

Google AI Overviews was first launched in the USA in May 2024. Now, it is expanding to countries outside the USA.

Google AI Overviews Launched in 6 Countries: eAskme
Google AI Overviews Launched in 6 Countries: eAskme

Google AI Overviews Launched is 6 Countries:

Users from the United Kingdom, Brazil, Mexico, India, Indonesia, and Japan will also get AI Overviews in search results.

While SEOs are complaining about the drop in referral traffic due to AI overviews, Google is determined to roll out this feature to more countries in the coming months.

According to Google, AI Overviews will deliver more website traffic and become a long-term tool to increase search presence.

New Features of Google AI Overviews:

Google has also launched new features in AI Overviews, such as:

  • Users will see a new resource link of relevant websites or blogs.
  • Testing in-text links.
  • New save function to save AI Overviews.
  • Ease of language for some queries.

Google claimed that people are more engaged with AI overviews than general search results. They ask more extended questions and engage in human-like conversations.

Impact on Publishers:

Google AI results deliver high-quality traffic. This also means that AI overviews will display top-ranking results as links. However, there is no clear indication of how it will impact a publisher.

In-text links can lead users to websites, but it is unclear how many users will follow those links.

The SEO community is worried about the fact that AI-generated results will give summarized solutions to the users, and they will never click the link to learn more.

Google’s AI Overviews and User’s Reaction:

Google is taking a positive stand about AI overviews. The company is clearly going to roll out AI overviews in more countries and for more queries. Users also interact with AI Overviews, which makes the search engine believe that the results are beneficial.

Conclusion:

Google is trying everything to help users. It is running a business to bring quality searches in front of the searchers. AI Overviews is Google’s effort to improve the search market with quality results that its algorithm believes are better than other sites.

Now, it all depends on the user’s response. If users are satisfied with AI overviews, then they will be the most effective part of Google search.

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March 25, 2024

Google Launched Side Panel Chat AI Feature for Developers

Google has launched "AI chat" in "Google for Developers." Developers can access "Side Panel Chat" at Google developer's page.

Google's developer AI chat feature is intended to help developers code better or fix common issues. But it also answers business-related questions like SEO, ranking, etc.

Google Launched Side Panel Chat for Developers: eAskme

Google Developer's Side Panel Chat:

Google's side panel chat is available in the Beta version. Click here to access the AI Chat Panel.

"Side Panel Chat" is available in selected regions. It is available in multiple languages.

Developer Profile is a Must for Side Panel Chat:

You must have an active Google developer profile to access the "Side Panel Chat" feature.

It is super easy to create.

  • Go to Developers.google.com and sign up with your Gmail account.
  • Fill in information such as name, photo, title, bio, gender, etc. After creating a Google developer profile, you get the "Google developer profile badge."
  • "Side Panel Chat" is available for desktop users only.

You can find it on the right side of your browser.

Google's "Side Panel Chat" offers personalized responses. It is also a great place to display your badges and achievements.

Side Panel Chat Answer Any Question:

"Side Panel Chat" answers developer questions and questions related to business, SEO, marketing, ranking, etc.

But for some queries, you will get no results.

I have tested that.

When I asked "how to start a lifestyle blog," it gave an error result with "I'm sorry, but I can only answer about Google Developer topics."

But when I searched "how to rank in search," it displayed the detailed answer with the "source."

Where is the "Side Panel Chat" button?

The "Side Panel Chat" AI feature button is available on the sidebar of the development page.

Side Panel Chat with Limits:

Side Panel Chat provides limited answers. It is strictly limited to developer-related questions only. For anything else, it gives an error response: "I'm sorry, but I can only answer about Google Developer topics."

Conclusion:

The Google developer's "Side Panel Chat" feature is in beta. It is expected to provide limited answers or off-topic answers because of testing mode. Google is collecting developer's feedback to improve AI chat features.

Side Panel Chat FAQs:

Why does the Side Panel Chat can't answer my question?

Side Panel Chat can't answer questions if it is not related to the development topic.

How can I give feedback about the Side Panel Chat?

You can click the "feedback" icon to leave your feedback.

How much does it cost to access Side Panel Chat?

Side Panel Chat is a free feature.

If you have any questions or suggestions, feel free to ask me via comments.
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February 25, 2024

Google Launched Chrome Help Me Write AI Writing Assistant

Google Help Me Write is an official AI writing assistant extension in Google Chrome. You can free install the “Help Me Write” assistant Chrome extension from the Chrome Web Store.

Google’s new AI Writing extension gives suggestions based on the text.

With the help of “Help Me Write,” you can write better content from blogs, emails, articles, PR news, reviews, ads, promotions, etc.

Google Help Me Write AI Assistant: eAskme
Google Help Me Write AI Assistant: eAskme

Google Help Me Write:

Google Help Me Write is using Gemini technology to give content suggestions. You get suggestions based on text and website content.

You can get word suggestions, product descriptions, writing suggestions, etc.

Google's announcement explains that “Help Me Write” understands the text content of sites and gives text recommendations.

“Help me write” will help you write product reviews.

How to Start With “Help Me Write”?

Install “Help Me Write.” Go to browser settings in the “Experimental AI.”

To access “Help Me Write,” you must download and install Chrome M122 update.

It is a toggle feature.

How to Write Content with the “Help Me Write” Chrome Extension?

Google Chrome users can use “Help Me Write” to write articles.

Here are the factors how to use Help Me Write AI Extension:

  • Text Recognition: Help me write an AI extension to understand content and generate suggestions.
  • Increase Productivity: The new AI Help Me Write extension helps write blog posts, ads, reviews, emails, etc.
  • Write Effective Content: With the help of the Google AI extension, users can write invaluable blog posts.

How can Marketers use the “Help Me Write” Browser Extension?

Marketers use the “Help Me Write” AI feature for marketing, ads, and content marketing.

  • Write Best Product Description: Product descriptions are essential for successful marketing campaigns. It helps drive traffic, sales, and engagement.
  • Targeted Content Creation: With AI technology, “Help Me Write” helps marketers create content for the targeted audience.
  • Improve Communication: Text suggestions help to improve communication with power and influential words.

Who Can Access “Help Me Write”?

Update Chrome with M122 and later.

Choose settings in the “Experimental AI.”

It is accessible in English and other languages in the United States.

Conclusion:

Google Help Me Write Chrome extension AI Assistant is helpful for writers, bloggers, and marketers. Use Chrome extension to fix content issues.

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February 21, 2024

Google Gemma AI Open Models: Responsible AI with State-of-the-Art AI Open Models

Google has launched Gemma Open Models. Gemma is an open-source AI for desktop and laptop users. Developers can create chatbots and other AI tools with new open-source Gemma AI. Developers and researchers will find it helpful.

Google Gemma AI Open Models, Responsible AI with State-of-the-Art AI Open Models: eAskme
Google Gemma AI Open Models, Responsible AI with State-of-the-Art AI Open Models: eAskme

Gemma Open Models:

Gemma is an open-source AI for research and development. It is developed on the same platform as Google Gemini.

In other words, Gemma AI is inspired by Gemini. Google Deepmind has developed Gemma Open Models.

Gemma tools will also help developers to develop responsible AI tools.

Gemma Features:

  • Gemma was released in two formats, Gemma 7B and Gemma 2B.
  • 250,000 tokens vocabulary.
  • Embadding Weights 750 million.
  • Developers can take help from the Responsive Generative AI Toolkit to create safe AI.
  • It is accessible on TensorFlow, JAX, and Pytorch with Keras 3.0.
  • Integration with Google Colab, Kaggle Notebooks, Hugging Face, TensoRT-LLM, MaxText, and NVIDIA Nemo.
  • Pre-trained Gemma is accessible on Google Cloud, workstations, and laptops.
  • Easy to access on Google Coups TPUs and NVIDIA GPUs.

Gemma Models State-of-the-Art Performance:

Gemma was developed using the same data and technologies as Gemini. This gives Gemma 7B and Gemma 2B the ability to perform better than other open-source AI models.

You can directly access Gemma on a desktop or laptop. It is safe and responsible.

Here is the screenshot of the technical performance report.

Gemma is Responsible:

Gemma is a set of responsible Open-source models. Pre-trained models are safe for developing reliable AIs. Google DeepMind has also used RLHF to fine-tune Gemma models.

Google’s Responsible Generative AI Toolkit helps you to create safe AI.

Google’s Responsible Generative AI Toolkit includes:

  • Safety: Codelabs offers a methodology for creating Ais.
  • Debugging: Debugging tools will help you understand Gemma and its issues.
  • Guidance: Google also guides on developing AI models or tools.

Cross Platform Accessibility:

Gemma is accessible on every hardware, framework, and tool.

Here is the list of tools or platforms that Gemma supports:

  • Multi-Framework AI Tools: You can use Gemma on any popular AI framework, such as Hugging Face Transformers, Keras 3.0, native Pytorch, and JAX.
  • Accessible on any device: Gemma is accessible on desktop, laptop, cloud, mobile, and IoT.
  • Best-in-class hardware: Google has partnered with NVIDIA GPUs to optimize Gemma.
  • Google Could: Advanced optimization makes Gemma user-friendly.

Gemma Free Credits for Developers and Researchers:

Google Gemma is a powerful AI model that can be used to develop and research responsible AIs.

How to access Gemma for Free?

  • Gemma is free for Kaggel users.
  • A free tier is available in Colab Notebooks.
  • $300 credits for new Google Cloud users.
  • Researchers can receive free credits up to $500,000.

Conclusion:

Gemma open-source models are for developers and researchers. With these new open-source models, Google is giving competition to other free, open-source AI models. Now, developers have better AI to develop responsible AI tools with Gemma.

Google's AI document.

What do you want to create with Gemma?

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February 14, 2024

Google Gemini Chat Data Leaked: Why and How?

Google Gemini chat data leaked and indexed in search engine results. Within just 24 hours of the official launch of Gemini advanced, the chat data leaked online. Google explains the chat data leak and what happened with those conversations.

On 13th February 2023, Gemini Privacy Document asked users not to share their personal information. And on 14th February 2023, Gemini chat data leak explained.

A Twitter tweet has revealed the Gemini chat data leak.

Google Gemini chat data indexed by Bing within just 24 hours of its launch. Screenshots of gemini.google.com/share/ are available in Bing search. You can read those messages.

Google has removed Gemini chats from its results. It is expected that other search engines will also remove chat data from their platform.

Google Gemini Chat Data Leaked: eAskme
Google Gemini Chat Data Leaked: eAskme

Gemini Chats Leak Explained:

  • Google had placed robots.txt on gemini.google.com
  • Bing and Google had indexed Gemini chat pages.
  • Search engines crawled public chat links and indexed them.
  • Bing and Google removed Gemini chat from search results.

How Gemini Chat Pages Became Public?

Gemini allows you to share your private chat using a public link. Google itself does not create chat pages. Only the user can create chat pages and share them.

How to Create Gemini Shared Chat Page?

Chat with Gemini. At the bottom of the chat click the link to create a public link of shared chat page.

How to Create Google Gemini Chat Page Public Link: eAskme

Why Gemini Chat Pages Get Indexed?

The most common reason why a page gets indexed in search result is because the website is not using robots.txt or not blocked chat pages in robots.txt.

Robots.txt is the file that tells search engine what to crawl and what not to. It helps webmaster prioritize his content for indexing.

However, gemini.google.com/robots.txt page is already there.

Google Gemini Robots.txt: eAskme

Not only the SERP but Gemini chats are also indexed in Internet Archive Wayback Machine.

It explains that robots.txt is there, and it is not possible that Google has itself crawled the chat data.

Now the question is how the Gemini chat data ends up in search results.

How Search Engines Can Crawl and Index Chat Data?

Search engines can crawl chat data using public links.

Cookies can also be the reason for Gemini chat data leak.

Bill has discovered Gemini chat public link indexed in search results.

Google Gemini Chat Page Link: eAskme

It is the most obvious scenario that chat data leaked in search results using public links.

Even though the robots.txt blocked Gamini chats from indexing, yet Google has indexed public URLs.

Why Search Engines Removed Gemini Chat Pages from Search Results?

It seems like search engines set a rule after this leak to drop Gemini public chat links from the SERP. No matter what the reason is, it is best not to index user chats in search results.

How Google and Bing Search Indexing Works?

I have already shared how Google crawl and index content. Bing is also a search engine that crawl pages allowed to index in robots.txt or in public domain.

Conclusion:

Gemini Chat Pages leaked but why. There is no benefit for any user to see chat pages in search results. It could be a technical glitch or lack of some rule that made Gemini chat results getting indexed in Bing and Google.

Both search engines have removed Gemini chat. This leak also explains that even when Robots.txt is blocking pages from crawling search engines can index them and rank them.

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December 07, 2023

Google Gemini will Launch In 2024

Google's most powerful AI, "Google Gemini," is set to launch in 2024. It was expected that Google Gemini will launch in December 2023. But, Google has delayed its launch to improve its language capabilities.

Google made this decision after the issues with non-English queries.

The report also shows that Google is going for a public preview of Google Gemini.

Google Gemini will Launch In 2024: eAskme
Google Gemini will Launch In 2024: eAskme

VerTex AI use has posted on "X" (formerly known as Twitter) about the launch of 4 Google Gemini Models.

4 Google Gemini Models for VerTex AI Model Gardem are:

  • Gemini-pro
  • Gemini-pro-vision
  • Gemini-ultra
  • Gemini-ultra-vision

Sundar Pichai, the Google CEO, has also confirmed that Gemini is a series of AI models.

Here is what You Must Know!

Why is Google Gemini Delayed?

Gemini Gemini was expected to launch in 2023. But Sundar Pichai has canceled his events in Washington, California, and New York.

These events are related to the launch of Google Gemini and the strategy to market the AI products.

Google understands the AI competition from Meta, OpenAI, and Microsoft. It is building Gemini to overpower other AI tools.

GPT-4 is Better than Gemini to Understand Multilingual Queries:

GPT-4 has performed better than Gemini when handling multilingual user queries.

Google is improving AI technology to stay ahead in the AI market.

Google AI Strategy:

Google's AI strategy is working to outperform other AI tools. Google Gemini is still in progress. Google also deals with other AI products such as Docs, Bard, and Assistant. These products will also help Gemini to work better.

Google also needs to be the most innovative company in the industry. Right now, OpenAI is holding that place with innovative AI tools. Microsoft Copilot is also getting better day by day.

Google Bard is also getting new capabilities to challenge ChatGPT and other AI models.

Gemini delayed ensuring that it has advanced capabilities like multilingual features. Soon, you will see more AI models joining the Vertex AI Model Garden.

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November 08, 2023

Google Gemini: What You Must Know?

What is Google Gemini? Is it Different than Google Bard? Is Gemini Google’s upcoming AI technology?

Find out the answers today!

Google is trying everything to compete with OpenAI’s generative AI technology, ChatGPT. First, they launched Google Bard, and now the company is coming up with another technology known as Google Gemini.

Google Deepmind is working on the development of Google Gemini, which is a LLM (Large Language Model). In the beginning, only selected brands could access Gemini to test and analyze.

Google Gemini:

Google Gemini Large Learning model LLM, What is it? How to use it? When it will launch? Who will have access?: eAskme
Google Gemini Large Learning model LLM, What is it? How to use it? When it will launch? Who will have access?: eAskme

In May 2023, Google talked about Gemini at the Google I/O developer conference. Sundar Pichai told us that Gemini (Large Language Model) is under development. Google’s Deepmind and Brain Team are working together to create an immersive AI to compete with ChatGPT and Other generative AI tools.

Google is working in secrecy to develop Gemini so we can share the details that are revealed during expert interviews and reports.

Google Gemini Multimodal:

According to Sundar Pichai, Google CEO, Google is clubbing language learning model capabilities with Deepmind’s Alpha Go System.

The foundation of Gemini is to become a multimodal that works with different data types such as images, text, etc. The reason behind Google’s new path is to make the AI capable of handling natural conversations.

Google CEO also said that Gemini or future AIs can handle reasoning, planning, and memory capabilities.

Gemini API and Tools:

Jefferey Dean has revealed that Gemini is a next-gen multimodal model. Gemini will use Google’s AI infrastructure known as Pathways. New AI will scale to train on multiple datasets.

With this information, I predict that Gemini will have the biggest Large learning model dataset that will surely exceed that GPT-3.

Gemini Capabilities and Sizes:

Deepmind CEO Demis Hassabis said that Gemini will adopt new capabilities like tree search and reinforcement learning from AlphaGo. It will improve Gemini’s problem-solving and reasoning capabilities.

He also revealed that Gemini will have different sizes and capabilities.

Hassabis also said that Gemini will use memory and have fact-checking capabilities. With reinforcement learning, Google’s new AI will have better accuracy over other AI tools.

Gemini’s Early Results are Positive:

Hassabis has told Time that Gemini will have innovative and scaling capabilities.

Memory and planning will help Gemini to improve and scale. Google’s Gemini can also use retrieval methods to get word-to-word or complete information with fact-check accuracy. Early results are positive.
Gemini will be like Flamingo.

Personal Assistant or Advance Chatbot:

Pichai has told Wired that Bard is not the end of the game. AI will enhance and will be more capable in the future.

Gemini and other AIs will become the necessary personal assistants to help you in daily life, such as at home, travel, in the office, etc.

Gemini will understand both images and text.

OpenAI and Elon Musk’s Vie about Google Gemini:

Sam Altman from OpenAI has tweeted that Google has asked its semi analysis guy to publish the early result or marketing chart.

Elon Musk has also asked if the numbers are wrong.

Early Access:

Google will let developers and some selected companies access and test the capabilities of Google Gemini.

The Gemini Beta release will help Google to get early reviews and improve the AI.

Meta is also Working on a Large Learning model:

Not only Google but Meta is also working on developing an effective LLM to compete with OpenAI.

Meta has also announced Llama 2, which is an open-source AI model.

Conclusion:

Google Gemini’s countdown has started.

Google’s new LLM will have better capabilities and features. It will be available in different sizes.

If Gemini works according to what Google has promised, then it will change the AI landscape. We also hope for a better but responsible AI from Google.

These details came out after the tech meeting of CEOs with US Senate members, where they discussed the future of AI.

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November 07, 2023

Google Launched Generative AI Features in Performance Max Platform

Google's Performance Mas is getting Generative AI features to help marketers create and customize images and text for ad campaigns.

Right now, Generative AI features in the Performance Max platform are under beta version and only available for U.S. advertisers or marketers.

The company is letting advertisers use generative AI features to customize text and images for ad campaigns. Advertisers can generate new images or scale images.

Google Launched Generative AI Features in Performance Max Platform: eAskme
Google Launched Generative AI Features in Performance Max Platform: eAskme

If you do not know what Performance Max is, It is a Google AI-powered platform which was launched in 2021. It covers search, display, YouTube and other Google products.

You can use Performance Max to optimize ads by using performance data and create assets using Generative AI.

How to Get Started with Generative AI in Performance Max?

There are two ways to use Generative AI features in the Performance Max:

  • If you are creating a new Performance Max campaign, then you will see "Asset Generation" after "Campaign settings."
  • If you are creating another asset group in an already existing Performance Max campaign. In that case, you need to click the "+" icon to create a new asset group to see the "Asset Generation" feature.

After clicking "Asset Generation," you will also get A headlines, long headlines, descriptions, and suggestions. It will also include your logo and business name.

More Creative Control:

Google is offering marketers a creative control to the advertise in Asset Generation. You can discard the assets that you do not want to use and find meaningless.

You can also test multiple background and product images before making the final decision.

Generate or use the following assets in the Performance Max:

Generate Text Assets:

You can generate text headlines and descriptions using generative AI features. Google will automatically generate multiple headlines and descriptions based on your product, service and website summary.

You can also generate your headlines or descriptions by clicking on "Generate Healines," or "Generate Descriptions."

Choose the best and save them.

Generate Image Assets:

You can generate image assets in Performance Max using Google AI features. Generative AI will suggest images based on the Performance of your website, product, services, used assets and stock assets.

You can view more images by clicking on the "+ Images."

Click on "Generate Images" to generate images on your own for your Performance Max campaign.

Use Logo and Business name:

If you have been using a logo and business name in previous campaigns, then Google AI will automatically add them to your new campaign for the same website.

If you have not used the logo till now, then you will get logo suggestions to add to your campaign.

Video Assets:

Google AI will automatically create videos using your assets that you can use in your ad campaign.

Google Makes Generative AI Responsible:

Google has created AI features that prevent insensitive and policy-violating creations. The new and upcoming AI tools and features from Google will ensure responsible AI in use.

Google has also published a blog post that generative AI is still in the experimental phase. You may get offensive and inaccurate content. So don't overly rely on Generative AI features in Google Ads for legal, professional, financial, and medical services.

Conclusion:

Generative AI is becoming part of every Google Platform, from search to YouTube. Google is still working to make AI responsible and user-friendly.

Meta has also launched generative AI features for marketers.

The company is testing various AI features and tools to ensure the creation of the best AI tools and features for marketers, advertisers and content creators.

You must check the AI-generated content in the Performance Max platform to ensure that it is according to Google's advertising policies.

If you still have any questions, feel free to ask me via comments.

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July 28, 2023

Frontier Model Forum: OpenAI, Google, Anthropic, and Microsoft Launched AI Safety Forum

Tech giants and big names in the generative AI industry, such as OpenAI, Microsoft, Google, and Anthropic, have started an AI safety forum named “Frontier Model Forum” to ensure safety when building powerful AIs.

What is Frontier Model Forum?

Frontier Model Forum: OpenAI, Google, Anthropic, and Microsoft Launched AI Safety Forum: eAskme
Frontier Model Forum: OpenAI, Google, Anthropic, and Microsoft Launched AI Safety Forum: eAskme

Frontier Model Forum will ensure companies develop AI with responsibility and user safety.

This forum will do advanced AI research, information sharing, and best practices within governments and companies.

Any organization that wants to develop AI models can be part of AI frontier model safety.

AI or generative AI has raised threats and worries. Governments want to control it, and businesses want to develop more powerful AI models.

The Frontier Model Forum solves the issue as the participating companies are responsible for information sharing and safe AI development.

This forum will also work in collaborative efforts of AI development.

Why the Frontier Model Forum?

Why do companies need the Frontier Model Forum?

Here are a few things that you need to understand:

AI is not only beneficial but also has some potential risks.

AI Safety Forum, Frontier Model Forum will ensure that companies follow the best AI development practices and share knowledge with society, academic institutions, and governments.

Forum will also answer any questions related to AI safety and development.

Frontier Model Forum will coordinate between companies to improve AI research.

It will be more scalable, robust, research access, and detect anomalies and behavior.

It will create transparency between companies and governments regarding AI safety and development.

Requirements to Join the Frontier Model Forum:

An organization developing or deploying AI Frontier models can be part of the Frontier Model Forum. It is a must that organizations focus on the safety of AI frontier models.

  • Forum’s advisory board will set guidelines that organizations must follow.
  • Founding organizations of the Frontier Model Forum will set a charter, funding, governance, and arrangements with the board and working teams.
  • The government and civil society will also guide the Frontier Model Forum.
  • AI forum will work on ensuring safety, deep research, and a healthy AI ecosystem.

AI Safety with Red Teaming:

Anthropic’s Red Teaming strategy will ensure AI safety for humans. It will help to make upcoming AI models secure.

The Red Teaming strategy analyzes risk and sets working practices to improve AI safety.

Anthropic’s study has revealed that unmanaged AI models can threaten humanity. Organizations have also discovered ways to control AI.

The Frontier Model Forum will work with experts to identify threats and create an automatic evaluation of these threats.

With little mitigation, AI models can improve results.

Anthropic’s frontier model is already using these mitigations.

AI Giants and AI Safety:

White House has released a fact sheet where they have asked for a commitment from 7 AI giants such as:

  • OpenAI
  • Microsoft
  • Google
  • Amazon
  • Anthropic
  • Meta
  • Inflection

The government wants to hold companies responsible and accountable for AI threats and AI safety.

The US government wants to ensure that the highest standard of practices and safety should be used when dealing with AI in the future.

AI development should continue without harming the American citizen’s interests.

3 Basic principles of At Giants are:

  1. Safety
  2. Security
  3. Trust

It is a must that every organization completes all the internal and external tests before launching the final AI product in the market. Organizations must assess the effects on society, biosecurity, and cybersecurity.

The Frontier Model Forum focuses on AI safety and security within the public interest.

Companies should also tell the user if the content is Ai-generated or not.

Organizations should also reveal any development and update in AI models or technology.

Tech giants are developing AIs that are advanced and will do more than we can do with AI technology right now.

The US government wants to create an international framework for AI development and use.

AI Safety and Public Sentiment:

OpenAI’s initiative with The Government Lab and Citizens Foundation has helped the company to understand what people think about AI, safety, and its future.

They have created a website to discuss the potential risks of Large Language Models.

Citizens can vote on AI safety using AllOurIdeas.

In Pairwise voting, the user gets two threats, and he must choose his priority.

All this effort is to understand public sentiment about AI's future threats.

Voting has helped companies to understand that people want safe AI development.

The top 3 Popular Ideas used in AI voting are:

  1. AI Models should be practical, intelligent, and understand biased data.
  2. Impartial AI technology is the need of the time.
  3. AI aiding should not interfere with development.

Three unpopular Ideas are:

  1. AI should not make decisions related to national and international security.
  2. The government should guide AI companies.
  3. AI should not be used for religious or political purposes.

Conclusion:

The future of AI relies on its safe and secure behavior. Companies already use Ai tools and models to generate text, images, videos, research, marketing, etc.

The Frontier Model Forum will help to develop safe AI models that should not bother human interest.

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