Artificial Intelligence, Learning, Research

AgentGPT, BabyGPT and AutoGPT – what is the difference?

These are semi-autonomous “agents”, which can be given high level goals – “make a website for selling books online”. These agents can figure out the high level tasks, such as front-end HTML site development, payment integration, backend database, etc. and execute each of the tasks and subtasks.

They are all the same (at a high level), using recursive mechanisms to help GPT create prompts for GPT (so meta). Which means the tasks GPT outputs, now become prompts for the next task – in an automated way.

AgentGPT

AgentGPT is a platform that allows you to configure and deploy autonomous AI agents. You can name your own custom AI and have it embark on any goal imaginable. It will attempt to reach the goal by thinking of tasks to do, executing them, and learning from the results.

AgentGPT is on GitHub

AgentGPT is currently in beta, but it has the potential to be a powerful tool for a variety of tasks, such as:

  • Customer service: AgentGPT can be used to answer customer questions, provide support, and resolve issues.
  • Sales and marketing: AgentGPT can be used to generate leads, qualify prospects, and close deals.
  • Content creation: AgentGPT can be used to write articles, blog posts, and other content.
  • Research and development: AgentGPT can be used to explore new ideas, generate hypotheses, and conduct experiments.
  • Education: AgentGPT can be used to create personalized learning experiences, provide feedback, and answer student questions.

AgentGPT is still under development, but it has the potential to revolutionize the way we interact with computers. By allowing us to create autonomous AI agents, AgentGPT gives us the power to automate tasks, solve problems, and explore new possibilities.

Here are some of the features of AgentGPT:

  • Customizable: You can create your own custom AI agents with different skills and capabilities.
  • Autonomous: AgentGPT agents can think for themselves and learn from their experiences.
  • Extensible: AgentGPT agents can be extended with new capabilities using plugins and scripts.
  • Scalable: AgentGPT agents can be scaled to handle large volumes of data and requests.

AutoGPT

AutoGPT is an open-source application that uses OpenAI’s GPT-4 language model to perform autonomous tasks. It was created by Toran Bruce Richards, a game developer and AI researcher.

AutoGPT on GitHub

AutoGPT can be used to automate a wide variety of tasks, including:

  • Web scraping
  • Data analysis
  • Natural language processing
  • Image recognition
  • Code generation

AutoGPT is still under development, but it has the potential to be a powerful tool for a variety of applications. For example, it could be used to automate tasks in customer service, sales, marketing, research, and development.

Here are some of the features of AutoGPT:

  • Autonomous: AutoGPT can think for itself and learn from its experiences.
  • Extensible: AutoGPT can be extended with new capabilities using plugins and scripts.
  • Scalable: AutoGPT can be scaled to handle large volumes of data and requests.

BabyAGI

BabyAGI (or BASI) is an autonomous and self-improving agent, built on top of OpenAI’s GPT-3.5 or GPT-4 language model. It is a Python script that takes an objective and a task as input and attempts to complete the task. It can also create new tasks and re-prioritize the task list based on the objective and the results of previous tasks.

Baby AGI

BabyAGI is still in development, but it has the potential to be a powerful tool for automating tasks and solving problems. It is also a good example of how LLMs can be used to create autonomous agents.

Here are some of the things that BabyAGI can do:

  • It can solve simple math problems.
  • It can translate languages.
  • It can write different kinds of creative content.
  • It can answer your questions in an informative way.
  • It can generate different creative text formats of text content, like poems, code, scripts, musical pieces, email, letters, etc.
  • It can follow your instructions and complete your requests thoughtfully.
  • It can use its knowledge to answer your questions in a comprehensive and informative way, even if they are open ended, challenging, or strange.

BabyAGI is still under development, but it has the potential to be a powerful tool for automating tasks and solving problems. It is also a good example of how LLMs can be used to create autonomous agents.

Artificial Intelligence, investing

An introduction to Vector databases

In this post I will try to answer the questions:

  • What is a vector database?
  • Why use a vector database?
  • What are the benefits of using a vector database?
  • Types of Vector databases
  • How to choose a vector database
  • Use cases for vector databases

What is a vector database?

Vectors are mathematical representations of features or attributes. Each vector has a certain number of dimensions, which can range from tens to thousands, depending on the complexity and granularity of the data.

A vector database is a type of database that stores data as high-dimensional vectors.

Why use a vector database?

There are several reasons why you might want to use a vector database, including:

  • To store and manage large amounts of unstructured data.
  • To perform similarity searches on large amounts of data.
  • To build machine learning models.
  • To improve the performance of your applications.

What are the benefits of using a vector database?

There are many benefits to using a vector database, including:

  • High performance: Vector databases are designed to perform similarity searches on large amounts of data quickly and efficiently.
  • Scalability: Vector databases can be scaled horizontally to handle large amounts of data.
  • Flexibility: Vector databases can store and manage a variety of data types, including text, images, and audio.
  • Ease of use: Vector databases are easy to use and manage, even for users with limited database experience.

Types of vector databases

There are many different types of vector databases available, each with its own strengths and weaknesses. Some of the most popular vector databases include:

  • Milvus: Milvus is a vector database developed by Tencent AI Lab. It is designed for high-performance similarity search on large-scale vector data.
  • Pinecone: Pinecone is a vector database developed by PineconeDB. It is designed for storing and managing large amounts of unstructured data.
  • Vespa: Vespa is a vector database developed by Yahoo!. It is designed for high-performance search and analytics on large-scale text data.
  • Weaviate: Weaviate is a vector database developed by Weaviate. It is designed for storing and managing large amounts of vector data.
  • Vald: Vald is a vector database developed by MemSQL. It is designed for high-performance search and analytics on large-scale data.
  • Gsi: Gsi is a vector database developed by Google AI. It is designed for storing and managing large amounts of vector data.

How to choose a vector database

When choosing a vector database, there are a number of factors to consider, such as:

  • The size and type of data you need to store: Some vector databases are better suited for storing large amounts of data, while others are better suited for storing smaller amounts of data. Some vector databases are better suited for storing text data, while others are better suited for storing images or audio data.
  • The features and functionality you need: Some vector databases offer more features and functionality than others. For example, some vector databases allow you to build machine learning models, while others do not.
  • Your budget: Vector databases can range in price from free to thousands of dollars per month. It is important to choose a vector database that fits your budget.

Use cases for vector databases

Vector databases can be used for a wide variety of applications, including:

  • Image search: Vector databases can be used to build image search engines that can find similar images based on their visual content.
  • Product recommendations: Vector databases can be used to build product recommendation engines that can recommend products to users based on their past purchases and interests.
  • Text classification: Vector databases can be used to classify text documents into different categories, such as news, sports, or finance.
  • Natural language processing: Vector databases can be used to perform natural language processing tasks, such as sentiment analysis and machine translation.
  • Fraud detection: Vector databases can be used to detect fraud by identifying patterns of suspicious activity.
  • Drug discovery: Vector databases can be used to discover new drugs by identifying patterns in biological data.

Conclusion

Vector databases are a powerful new technology that can be used to store, manage, and search large amounts of unstructured data. If you are looking for a database that can handle the challenges of modern data, then a vector database is a great option.

investing

What is a vector database? As explained by ChatGPT and Google bard $GOOGL

Presented without commentary first is my screenshot.

Bard does not want to help
ChatGPT knows the answer

I am now really curious why Google Bard won’t answer the question. It obviously knows the answer. Or Google search does know something.

What I think happened is that over a series of questions, which Google got consistently wrong I responded with a series of thumbs down responses.

That resulted in “high accuracy” mode of operation. So, now I mostly get “no response”.

Entrepreneurship

The top 12 books about startups, funding, building lasting companies by sales

There are 100’s of books written by Silicon valley founders and leaders on the topic of funding, starting companies and building organizations to last. The top 10 in terms of number of copies of books sold are

  1. The Lean Startup by Eric Ries (2 million copies sold)
  2. The Hard Thing About Hard Things by Ben Horowitz (1 million copies sold)
  3. Zero to One by Peter Thiel (1 million copies sold)
  4. The Innovator’s Dilemma by Clayton M. Christensen (800,000 copies sold)
  5. The Startup Owner’s Manual by Steve Blank (700,000 copies sold)
  6. The Art of StartUp by Guy Kawasaki (600,000 copies sold)
  7. Crossing the Chasm by Geoffrey A. Moore (500,000 copies sold)
  8. The Startup of You by Reid Hoffman and Ben Casnocha (400,000 copies sold)
  9. The Lean Product Playbook by Dan Olsen (300,000 copies sold)
  10. The Startup Owner’s Finance Book by Steve Blank and Bob Dorf (200,000 copies sold)
  11. Venture Deals by Brad Feld and Jason Mendelson (150,000 copies sold)
  12. The Angel Investor’s Handbook by David S. Rose (100,000 copies sold)

Here is a one sentence summary on each of these books

  • The Lean Startup by Eric Ries: Build a minimum viable product (MVP) and test it with customers as soon as possible.
  • The Hard Thing About Hard Things by Ben Horowitz: Be prepared to make tough decisions, and don’t be afraid to fail.
  • Zero to One by Peter Thiel: Focus on creating new markets, not competing in existing ones.
  • The Innovator’s Dilemma by Clayton M. Christensen: Incumbent companies often fail to innovate because they are too focused on their current customers.
  • The Startup Owner’s Manual by Steve Blank: The four steps to starting a successful business are customer discovery, customer validation, customer creation, and customer scaling.
  • The Art of StartUp by Guy Kawasaki: Build a strong brand, tell a compelling story, and create a passionate community around your product.
  • Crossing the Chasm by Geoffrey A. Moore: When you’re launching a new product, you need to first focus on early adopters, then move on to the early majority.
  • The Startup of You by Reid Hoffman and Ben Casnocha: Your career is like a startup, and you need to be constantly learning and growing.
  • The Lean Product Playbook by Dan Olsen: Use a lean approach to product development to reduce risk and increase your chances of success.
  • The Startup Owner’s Finance Book by Steve Blank and Bob Dorf: Understand the financial side of your business so you can make informed decisions.
  • Venture Deals by Brad Feld and Jason Mendelson: Learn how to negotiate venture capital deals so you can get the best possible terms.
  • The Angel Investor’s Handbook by David S. Rose: Learn how to become an angel investor and help early-stage startups succeed.
Entrepreneurship

Book review: Zero to One – Peter Thiel

“Zero to One” is a book that challenges entrepreneurs to think beyond incremental progress and instead aim to create something new and valuable, to go from “zero to one.”

Written by Peter Thiel, a Silicon Valley entrepreneur and venture capitalist who co-founded PayPal and was an early investor in Facebook, the book presents a contrarian view of business and innovation.

Zero to One Book

Thiel argues that competition is overrated and that startups should aim to create monopolies, as they provide the most value to both the company and society.

He also stresses the importance of having a clear vision for the future and the ability to execute on that vision, as well as the need for a strong team.

Created with Nighcafe AI

He argues that startups should focus on creating something new and unique, rather than simply competing in existing markets.

The Hollywood script summary!

If I were younger, created by Dall-E

FADE IN:

We open on PETER THIEL, a brilliant and eccentric entrepreneur, sitting in his office in Silicon Valley. He’s deep in thought, staring at a whiteboard covered in equations and diagrams.

PETER THIEL (V.O.) The world is changing faster than ever, but progress seems to have slowed down. We need to find a new path to innovation.

We see a montage of Silicon Valley tech companies, all working on incremental improvements to existing products. PETER THIEL shakes his head in disappointment.

PETER THIEL (V.O.) We’re stuck in a world of competition, where everyone is fighting over a slice of the same pie. What we need is a new philosophy of innovation. We need to go from zero to one.

PETER THIEL starts writing furiously on a notepad, scribbling down his ideas. We see glimpses of his past – co-founding PayPal, investing in Facebook – as he talks about the importance of building something new and revolutionary.

PETER THIEL (V.O.) We can’t just copy what’s already been done. We need to create something that’s never existed before.

We see PETER THIEL giving a lecture to a group of young entrepreneurs, urging them to take risks and think big. He talks about the power of monopoly, and how creating a unique product or service is the key to success.

PETER THIEL Competition is for losers. If you want to create something truly great, you need to find a way to be the only one doing it.

We see PETER THIEL mentoring a young startup founder, pushing her to think beyond the bounds of what’s possible. We see the company grow and succeed, thanks to PETER THIEL’s guidance.

PETER THIEL (V.O.) The world needs more innovation, more creativity, more boldness. It’s time to go from zero to one.

FADE OUT.

investing

How to write, publish, edit & distribute a book – A resource for book writers in 2023

Writing a book is a big amount of effort and commitment!

There’s a ton of steps involved, from brainstorming to publishing. Let me break it down if you are so inclined.

NightCafe AI generated

Writing a Book:

  1. Idea generation: Think of a topic you’re passionate about and come up with some killer ideas.
  2. Research: Look up some background info and gather facts that’ll help you develop your story and characters.
  3. Outline: Sketch out a rough draft of your book, including the main plot and chapters.
  4. First draft: Start writing your first draft. Don’t worry about being perfect, just focus on getting your ideas on paper.
  5. Revision: Read through your draft and make any necessary changes to improve the flow and structure.
  6. Beta readers: Get some feedback from beta readers on what they liked and what could be improved.
  7. Edit: Use the feedback to make any necessary edits to your manuscript.
  8. Final draft: After polishing your manuscript, give it one final read-through before it’s ready for publishing.
fotor. AI generated

Publishing:

  1. Self-publish or traditional: Decide whether you want to self-publish or try for a traditional publishing house. My publishing is Diamond Consulting, easy to work with. They helped with editing, proof reading, layout, cover design and distribution. The book is available now on Amazon, Barnes and Noble, Apple iBooks (more coming soon).
  2. Submit your manuscript: If you choose traditional publishing, submit your manuscript to agents or publishers who accept unsolicited submissions.
  3. Negotiate the contract: If your manuscript gets accepted, negotiate the terms of your publishing contract.
  4. Editing: Work with an editor to make any necessary edits to your manuscript. My editor was ok, not a great experience. Choose one that knows your space. Its okay to pay more for this.
  5. Proofreading: Have your manuscript proofread by a pro to ensure there are no errors. I had an awful experience with Fiverr for proof reading.
  6. Layout: Format your manuscript according to publishing standards.
  7. Cover design: Work with a graphic designer to create a dope cover that’ll attract readers. My graphic design HDMXPublishing (Hamaad) was awesome. Based in London, the guy was fast, reliable and consistent.
  8. Print and distribute: Once everything is complete, print and distribute your book.
  9. Consider all book formats: Ebook (ePub), Hard cover (if this is a publication people will cherish), Paperback (for folks that like paper in their hands) and Audio book.
  10. ISBN: I got an ISBN for the eBook from myidentifers.com ($295 for 10) but used Kindle ISBN (free) for the Amazon paperback version and Barnes & Noble ISBN (free) for the B&N paperback version. Every version of your book needs a different ISBN – audio, eBook, paperback and hardcover.

Editing and proofreading:

  1. Editing: Hire a pro to review your manuscript and give suggestions.
  2. Revision: Make revisions based on the editor’s feedback.
  3. Proofreading: Have your manuscript proofread to ensure it’s error-free.
Fotor: AI generated image

Layout and cover design:

  1. Layout: Format your manuscript according to industry standards.
  2. Cover design: Work with a graphic designer to create a sweet cover that’ll grab readers’ attention.
  3. Print and distribute: Once everything is complete, print and distribute your book.
  4. Think about size (5X8 is for Paperback Amazon and 5.25X8 for Barnes and Noble)
investing

All newsletter statistics – Substack, Beehiv, Revue

The number of paid newsletters is about 131K (Substack, Beehiiv, Revue, MailerLite, etc.) across all the major subscription services.

Since I have an email list of about 300 email newsletter owners (none of them believe they are in the top 100 overall by newsletter subscription revenue), I thought I’d run a survey (via email – so meta).

Here are the numbers, without all the drama of charts and graphs.

The average newsletter has over 20+ paid subscribers and 100’s of free subscribers.

If you segment the newsletters there are 5 segments you can come up with.

  1. Topic / category : News , technology, finance, etc.
  2. Price of newsletter per month: <$5, $5 – $10, $10 – $25 and > $25
  3. By # of paying subscribers: < 100, 100 – 500, > 500
  4. By primary revenue model: Subscriptions or Sponsorships (advertising)
  5. By frequency of publication: Daily, Multiple times a week, Weekly

Topical news, politics and general news / sports make up the top categories.

Most newsletters are priced between $5 and $10 per month.

Over 87% of newsletters have fewer than 100 paying subscribers.

Only 21% of newsletters have ads / sponsors while 79% exclusively rely on paid subscriptions.

91% of subscribers publish multiple times a week, while 6% once a week and the rest daily.

investing

Book launch: Easy Introduction to Stock Trading

I launched my book “Easy Introduction To Stock Trading“.

If you want to trade & invest in stocks and and options, but dont know where to start this is the right book for you.

This book is a jargon-free, easy to understand, question and answer format style publication. I will walk you through a series of frequently asked questions to help you understand the market, trading, risk management and options to get you started.

It is short (90 pages) and you can finish reading it in less than 3 hours. It is also very inexpensive at $9.99 for a Kindle version, since I wanted to have more people get access to it.

If you still cannot afford it, by all means, please email me and I will make it available to you.

What I would like is to please write about it (on WhatsApp), share this post on Facebook, Instagram or Twitter.

It would be a great help if you can leave a review on my Amazon page.

The personal blog of Mukund Mohan