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

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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May 01, 2023

Google Bard Now Help You Code Better: Here is How?

Google has power-up the Bard with new coding capabilities. Bard can now help programmers and software developers to understand coding, debugging, and writing clean codes.

If you are a developer or programmer who wants to understand code blocks, then Bard will help you.

Developers were already asking Bard AI about coding and explanations.

Google has listened to them and updated Bard with coding features.

Google Bard Now Help You Code Better: Here is How?: eAskme
Google Bard Now Help You Code Better: Here is How?: eAskme

Google Bard is a generative AI tool allowing users to get answers, learn coding, explanations, and more.

Google Bard now supports more than 20 programming languages, such as:

  • Java
  • JavaScript
  • C++
  • Typescript
  • Go
  • Python
Bard also allows you to export your code to Google Colab. You can also use Google Sheets.

Understand Coding and Perform Debugging:

Bard allows you to learn codes and debugging.

Using Bard AI, you can learn about code blocks, why they are necessary, and what results they generate.

Bard also helps you in debugging. You can even ask Bard to fix your code errors.

Precautions and Limitations:

Google has made it clear that Bard is in the experimental phase.

The features are still under testing and may deliver misleading results.

You must recheck and proofread everything that you get from Bard AI.

Conclusion:

Google Bard will help you debug codes and translate them to other languages. It is helpful if you want to learn the use of code blocks and their necessity.

Bard gets new features and updates daily to become a better version.

You can code with Bard and generate recipes, plan lessons, create workout charts, and create presentations.

Google is allowing most developers to test the board in software development.

With tests and updates, Google is improving Bard and trying to make it the best generative AI.

More is coming. Stay tuned with us to know everything about AIs like Bard, ChatGPT, and others.

If you still have any question, do share via comments.

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April 05, 2023

ChatGPT and PPC: How Marketers Can Leverage Generative AI Tools?

AI Chatbots like ChatGPT and Google Bard are bringing automation to blogging, marketing, PPC, and SEO.

Generative AI like ChatGPT and Google Bard is helping you research, write content, get answers, and launch PPC campaigns for your business or clients.

You can automate the PPC process with the help of ChatGPT and Bard.

Generative AI Chatbots like ChatGPT are helping you to generate text for targeted PPC campaigns.

You can write ads to maximize the engagement of your target audience.

You can write PPC headlines and use GPT 3.5 to 4.0 to set up PPC campaigns and Google ads.

How to Use ChatGPT Generative AI for PPC Campaigns?

ChatGPT and PPC, How Marketers Can Leverage Generative AI Tools: eAskme
ChatGPT and PPC, How Marketers Can Leverage Generative AI Tools: eAskme

Now, you are ready to use GPT for PPC campaigns.

1. ChatGPT and PPC Keyword Research:

Go to Google Keyword Planner.

Use it to find new and targeted keywords. You can also use ChatGPT to find suggestions and keywords for the landing page.

You can also search for particular terms or keywords you want to add to your PPC campaign.

After creating ad groups, you need additional targeted keywords for your PPC ads.

Use ChatGPT to find similar keywords.

Add Prompt, Inputs, and GPT Response in your Google Sheets.

You can easily change the keywords in “inputs” with the same “Prompts” and “Formula” to get different ChatGPT results.

2. ChatGPT and Keyword Classification:

There are chances that you end up making a massive list of keywords.

You should check the high-quality score to sort keywords in related groups.

You can also tell ChatGPT to categorize keywords.

3. ChatGPT to Create PPC Ads:

After sorting the groups of keywords for your landing page, it is time to use headlines and descriptions.

You can ask ChatGPT to write PPC ads for you.

You can generate PPC ad headlines, but they can be more than the required character limit.

ChatGPT is not good at math or understanding character limits.

You can ask ChatGPT to write concise ad strings.

Use existing text to let ChatGPT complete the headline for you.

4. ChatGPT for Search Terms Optimization:

After running the ad groups, your ads will collect search terms data.

You can use search terms data to optimize your PPC ads. You will get a massive list of search terms, and finding the best term is tedious.

It is best to let ChatGPT do the work for you. You can ask ChatGPT to rank search terms according to relevance.

You can also find negative keyword ideas at the bottom of search terms' relevance.

5. ChatGPT and PPC Audience Building:

Use ChatGPT to build an audience for your PPC ads.

First, you need to understand what your customer is looking for and then ask ChatGPT to suggest some keywords those customers may use while searching.

You can use the result to create a custom audience in Google Ads.

6. ChatGPT and Landing Page Relevance Optimization:

Ask ChatGPT what your landing page is about. You will find answers that give you enough data to optimize your landing page.

You can also use Google Ads Landing page report to analyze landing pages with ChatGPT.

ChatGPT will display topics that it finds your page is about.

7. ChatGPT Tips and Tricks for PPC ads:

You can get ChatPT responses in different formats, such as bulleted text, tabular data, and codes.

For example, you can tell ChatGPT to display keyword suggestions with the number of characters.

ChatGPT will display the result in your desired format.

Conclusion:

Use Generative AI like ChatGPT and Google Bard to automate the PPC ads for your business or clients.

Use the above tips to optimize Google ads and fix your landing page issues.

PPC advertisers and marketers are already using generative AI for PPC ad optimization.

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April 04, 2023

ChatGPT vs. Google Bard vs. Bing Chat AI, What are the Differences?

ChatGPT has created the demand and race between companies to create the best and most attractive AI.

Bing Chat, Google Bard, Snapchat My AI, Microsoft Azure, etc., are a few examples that came to light after seeing the popularity of ChatGPT chatbot.

Now only search engines but browsers like Opera and Mozilla are also working to create user-friendly AI.

Regarding AI like ChatGPT, only Bing and Google Bard have made headlines worthy of a competitor.

So a user must find out which AI chatbot tool is better.

In 2023, we will see more and more chatbots in the market daily.

ChatGPT vs. Google Bard vs. Bing Chat AI, What are the Differences: eAskme
ChatGPT vs. Google Bard vs. Bing Chat AI, What are the Differences: eAskme

In this storm of Chatbots, it takes work for a user to find and settle on the best one.

Developers, SEO experts, agencies, writers, publishers, etc., are discussing the benefits and limitations of different AI chatbots.

In November 2022, ChatGPT was introduced, and Bing Chat and Google Bard came to grab the AI market.

Chatbots are not limited to answering a limited number of questions. AI Chatbots are even helping you design websites, create YouTube scripts, write CSS codes, etc.

Now you can create valuable and informative articles, blog posts, newsletters, and emails with the help of AI chatbots.

But it is challenging for you to choose the best Chatbots when popular chatbots offer similar features and benefits.

Today, we will determine which AI chatbot you should choose and why.

ChatGPT, Google Bard, Bing Chat: Differences

To understand these differences, you should understand GPT and LaMDA.

ChatGPT and Bard both use different technologies. Where ChatGPT is based on GPT, Google Bard is based on LaMDA.

People started using ChatGPT, and Google Bard was introduced later. This is why people want Bard to behave like another GPT chatbot, which it is not.

Bing collaborated with OpenAI to create better AI but also make the AI responsive according to user interest.

ChatGPT is not available on a massive scale as Google Bard and Bing Chat are available. ChatGPT alternatives are working hard to create a user-friendly chatbot that appeals to a mass user base.

ChatGPT:

ChatGPT is based on Generative Pre-Trained Transformer. It has used much data to train and fine-tune the chatbot. Billions of data points are used in ChatGPT.

More than 175 billion data parameters are used to learn and fine-tune ChatGPT.

Some of the critical parameters are:

  • Websites data
  • Articles
  • Books, etc.

OpenAI is now developing plugins to support ChatGPT and make it learn in real time from website data.

Developers can also use these to create better ChatGPT actions.

LaMDA:

Google always tries to stand unique. Google Bard is using LaMDA (Language Model for Dialogue Applications). Google Bard is working hard to make it user-friendly and answer queries in conversational methods.

Even though Google has said that Bard is trained in human dialogue and conversations, there are possibilities that Google uses search data to improve real-time results.

Google is using Infiniset datasets, and the company is keeping information about these datasets private.
Chatbots are using web sources, and they may deliver false results.

Chatbots can Hallucinate:

Hallucinations are possible in chatbot results. Yet, you will find results convincing even if they are misleading.

Google has clearly stated that Bind is an experiment, which tells us that much more is coming.

Bing also clearly states that mistakes and surprises are possible with Bing AI.

If you use chatbots to find facts, crosscheck the information before using it.

It is standard that a newbie will not find any difference between accurate and misleading information.

Chatbots use website data, and there are chances that data needs to be more accurate.

Now use prompts to find out which chatbot performs better.

ChatGPT vs. Bing Chat Vs. Google Bard: Prompt Testing

Let us see how different chatbots answer technical SEO questions.

What are the four technical SEO Factors to Optimize a Website?

ChatGPT response has displayed the following:

Site Speed and Performance:

  • Mobile Friendliness
  • Structured Data and Schema Markup
  • Crawlability and Indexability

Bing Chat shows the following responses:

  • Mobile Responsiveness
  • Site Architecture
  • Website Speed
  • Structured data markup

Bard Response Shows:

  • Page Speed
  • Mobile Friendliness
  • Structured Data
  • Robots.txt

The above prompt shows that each tool display result in different ways. Bing uses fewer words to display results, but ChatGPT and Google Bard display elaborated results. Google Bard and ChatGPT offer better solutions.

Which Chatbot is Better Between ChatGPT, Google Bard, and Bing Chat?

I have tried different prompts and questions and found that each tool has pros and cons.

Brad is relatively new and still in experimental mode. So it is acceptable that you will find the less relevant response from Bard.

Bing is using sources to display results. The accuracy of the result is based on the source it is used to collect information.

Bing Chat will soon start displaying ads that can cause some issues with user experience.

All chatbots, such as ChatGPT, Bing Chat, and Google Bard, are helpful. In the future, these tools will improve and make it easy for the user to decide which tool is better to serve which purpose.

Conclusion:

Industry experts are concerned about the risks of AI to humanity and society. Although we are not using self-aware AI, we cannot ignore the threats.

Industry leaders are asking questions to ensure that developer works in creating safe AI tools.

What do you think? Which AI tools are you finding interesting?  

Still have any question, do share via comments.

Share it with your friends and family.

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February 28, 2023

Google Bard AI: Everything that You Must Know!

What is Google Bard? What did Google Bard do? What question did Bard get wrong? What questions did Google AT get wrong? What is Bard Chatbot? What sites were trained on it?

These are a few of the questions that are circulating in the AI industry.

Google Bard is trained on web content, but how the information is collected and which content is used is something that every user should know.

Let's start answering every question about Google Bard.

What is Google Bard?

Google Bard AI: Everything that You Must Know!: eAskme
Google Bard AI: Everything that You Must Know!: eAskme


Google's Bard is an AI chatbot like ChatGPT. Google users can use Bard during conversations.

Bard is developed on LaMDA (Language Model for Dialogue Application).

Infiniset is the content on which Bard is trained. Till now, there has been very little information revealed about Infiniset.

It is too early to say where Google LaMDA has collected data and how.

The 2022 LaMDA report shows that 12.5% of data came from Wikipedia and 12.5% from public datasets.

Even though Google is not revealing where the company has collected the data, there are some sites that industry experts are talking about.

What is Google's Infiniset Dataset?

Google Bard is based on Language Model for Dialogue Applications, also known as LaMDA.

Google's language model trained on the Infiniset dataset.

Infiniset is the data collected to improve the LaMDA's ability to boost conversation.

LaMDA research paper https://arxiv.org/pdf/2201.08239.pdf shows that the whole process focused on boosting dialogs or dialog.

1.56 trillion words from public data are used to pre-train LaMDA.

The research paper has revealed that data is from the following sources:

  • 12.5% of data is C4 based.
  • 12.5% data is from Wikipedia.
  • 12.5% of data is from tutorials, websites, etc.
  • 6.25% of data is from English documents.
  • 6.25% of data is from Non-English documents.
  • 50% of dialogs data is from public forums.

We already know that 25% of data is from Wikipedia and C4.

The C4 dataset is a common crawl dataset.

It also means that 75% of Infiniset data is from the internet.

What pdf documents had not revealed is how the data was collected.

Google has not explained what it means by "Non-English web documents.

That is why the rest of the 75% data is known as Murky.

C4 Dataset:

Google developed the C4 dataset in 2020.

All the data used in C4 is open-source common crawl data.

What is the Common Crawl?

CommonCrawl is a free-to-use website that creates free datasets for internet users. It is a non-profit organization.

The Common Crawl founders are from Blekko, Wikimedia, and Googler.

How has Google developed the C4 dataset from the Common Crawl?

The company has cleaned Common Crawl data such as deduplication, thin content, lorem ipsum, obscene words, navigational menus, etc.

C4 has collected only primary data and removed meaningless content.

But it doesn't mean that you cannot find unfiltered C4 datasets.

Here is the C4 dataset research paper:
https://arxiv.org/pdf/1910.10683.pdf
https://arxiv.org/pdf/2104.08758.pdf

The second document shows that 32% of Hispanic and 42% of African-American pages were removed during filtration.

51.3% of data is from sites hosted in the United States.

The C4 dataset uses using following sites such as:

  • www.npr.org
  • www.ncbi.nlm.nih.gov
  • caselaw.findlaw.com
  • www.kickstarter.com
  • www.theatlantic.com
  • link.springer.com
  • www.booking.com
  • www.chicagotribune.com
  • www.aljazeera.com
  • www.businessinsider.com
  • www.frontiersin.org
  • ipfs.io
  • www.fool.com
  • www.washingtonpost.com
  • patents.com
  • www.scribd.com
  • journals.plos.org
  • www.forbes.com
  • www.huffpost.com
  • patents.google.com
  • www.nytimes.com
  • www.latimes.com
  • www.theguardian.com
  • en.m.wikipedia.org
  • en.wikipedia.org

Top-level domain extensions used in the C4 dataset are:

  • Com
  • Org
  • Co.uk
  • Net
  • Com.au
  • Edu
  • Ca
  • Info
  • Org.uk
  • In
  • Gov
  • Eu
  • De
  • Tk
  • Co
  • Co.za
  • Us
  • Ie
  • Co.nz
  • Ac.uk
  • Ru
  • Nl
  • Io
  • Me
  • It

Here is what was published in the 2020 research paper. https://arxiv.org/pdf/2104.08758.pdf

What is Dialogs Data from Public Forums?

Google's LaMDA uses 50% of data from "Dialogs Data from Public Forums."

It is best to say that communities like StackOverflow and Reddit are used in many datasets.

Google has also talked about MassiveWeb. You should know that MassiveWeb is Google's product.

MassiveWeb uses data from:

  • StackOverflow
  • Reddit
  • Medium
  • Facebook
  • YouTube
  • Quora

But no one can surely tell if this data is used for LaMDA.

Remaining Data:

The remaining data is from:

  • 6.25% from Non-English web documents.
  • 6.25% from English web documents.
  • 12.5% data is from Wikipedia.
  • 12.5% is from code documents sites.

What did Google Bard do?

Google has launched Bard as an answer to compete with Microsoft's ChatGPT chatbot.

But most recently, Bard has delivered errors during its search demo. This issue has caused a $100 billion loss in Alphabet shares.

Conclusion:

Google Bard is Google's effort to compete with ChatGPT and AI chatbot technologies. The current demo of Bard has caused a massive fall in Google's parent company Alphabet's shares.

It also shows that a lot of work still needs to be done to fix errors and make Bard ready for the future.

There will be more news coming out soon about Bard.

Stay tuned with us.

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