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The Complete Obsolete Guide to Generative AI
The last book on AI you’ll ever need. We swear!
AI technology moves so fast that this book is probably already out of date! But don’t worry—The Complete Obsolete Guide to Generative AI is still an essential read for anyone who wants to make generative AI into a tool rather than a toy. It shows you how to get the best out of AI no matter what changes come in the future. You’ll be able to use common automation and scripting tools to take AI to a new level, and access raw (and powerful) GPT models via API.
Inside The Complete Obsolete Guide to Generative AI you will
• Just enough background info on AI! What an AI model is how it works
• Ways to create text, code, and images for your organization's needs
• Training AI models on your local data stores or on the internet
• Business intelligence and analytics uses for AI
• Building your own custom AI models
• Looking ahead to the future of generative AI
Where to get started? How about creating exciting images, video, and even audio with AI. Need more? Learn to harness AI to speed up any everyday work task, including writing boilerplate code, creating specialized documents, and analyzing your own data. Push beyond simple ChatGPT prompts! Discover ways to double your productivity and take on projects you never thought were possible! AI—and this book—are here to show you how.
About the technology
Everything you learn about Generative AI tools like Chat-GPT, Copilot, and Claude becomes obsolete almost immediately. So how do you decide where to spend your time—and your company’s money? This entertaining and unbelievably practical book shows you what you can (and should!) do with AI now and how to roll with the changes as they happen.
About the book
The Complete Obsolete Guide to Generative AI is a lighthearted introduction to Generative AI written for technology professionals and motivated AI enthusiasts. In it, you’ll get a quick-paced survey of AI techniques for creating code, text, images, and presentations, working with data, and much more. As you explore the hands-on exercises, you’ll build an intuition for how Generative AI can transform your daily work and communication—and maybe even learn how to make peace with your new robot overlords.
What's inside
• The big picture of Generative AI tools and tech
• Creating useful text, code, and images
• Writing effective prompts
• AI-driven data analytics
About the reader
Written for developers, admins, and other IT pros. Some examples use simple Python code.
About the author
David Clinton is an AWS Solutions Architect, a Linux server administrator and a world-renowned expert on obsolescence.
The technical editor on this book was Maris Sekar.
Table of Contents
1 Understanding generative AI basics
2 Managing generative AI
3 Creating text and code
4 Creating with media resources
5 Feeding data to your generative AI models
6 Prompt Optimizing your experience
7 Outperforming legacy research and learning tools
8 Understanding stuff better
9 Building and running your own l
AI technology moves so fast that this book is probably already out of date! But don’t worry—The Complete Obsolete Guide to Generative AI is still an essential read for anyone who wants to make generative AI into a tool rather than a toy. It shows you how to get the best out of AI no matter what changes come in the future. You’ll be able to use common automation and scripting tools to take AI to a new level, and access raw (and powerful) GPT models via API.
Inside The Complete Obsolete Guide to Generative AI you will
• Just enough background info on AI! What an AI model is how it works
• Ways to create text, code, and images for your organization's needs
• Training AI models on your local data stores or on the internet
• Business intelligence and analytics uses for AI
• Building your own custom AI models
• Looking ahead to the future of generative AI
Where to get started? How about creating exciting images, video, and even audio with AI. Need more? Learn to harness AI to speed up any everyday work task, including writing boilerplate code, creating specialized documents, and analyzing your own data. Push beyond simple ChatGPT prompts! Discover ways to double your productivity and take on projects you never thought were possible! AI—and this book—are here to show you how.
About the technology
Everything you learn about Generative AI tools like Chat-GPT, Copilot, and Claude becomes obsolete almost immediately. So how do you decide where to spend your time—and your company’s money? This entertaining and unbelievably practical book shows you what you can (and should!) do with AI now and how to roll with the changes as they happen.
About the book
The Complete Obsolete Guide to Generative AI is a lighthearted introduction to Generative AI written for technology professionals and motivated AI enthusiasts. In it, you’ll get a quick-paced survey of AI techniques for creating code, text, images, and presentations, working with data, and much more. As you explore the hands-on exercises, you’ll build an intuition for how Generative AI can transform your daily work and communication—and maybe even learn how to make peace with your new robot overlords.
What's inside
• The big picture of Generative AI tools and tech
• Creating useful text, code, and images
• Writing effective prompts
• AI-driven data analytics
About the reader
Written for developers, admins, and other IT pros. Some examples use simple Python code.
About the author
David Clinton is an AWS Solutions Architect, a Linux server administrator and a world-renowned expert on obsolescence.
The technical editor on this book was Maris Sekar.
Table of Contents
1 Understanding generative AI basics
2 Managing generative AI
3 Creating text and code
4 Creating with media resources
5 Feeding data to your generative AI models
6 Prompt Optimizing your experience
7 Outperforming legacy research and learning tools
8 Understanding stuff better
9 Building and running your own l
- GenresArtificial Intelligence
240 pages, Paperback
Published August 27, 2024
3 people are currently reading
29 people want to read
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Displaying 1 - 4 of 4 reviews
September 1, 2024
This book gives the Reader ( especially anyone working in Business ) who does not know anything about "Gen AI" but wants a broad and hands on overview to the artificial intelligence topic of Generative AI.
You will come away learning what Generative AI is, its uses and there are fun exercises and many "goto" references.
I found it easy to read and work through with clear explanations and much interesting information and exercises.
Perhaps when it ever becomes "Obsolete", it will be a "Collector's Item" as one of the first bona fide introductions to "Gen AI".
You will come away learning what Generative AI is, its uses and there are fun exercises and many "goto" references.
I found it easy to read and work through with clear explanations and much interesting information and exercises.
Perhaps when it ever becomes "Obsolete", it will be a "Collector's Item" as one of the first bona fide introductions to "Gen AI".
December 21, 2024
Some chapters were engaging and provided new information, while others were not as helpful. Finishing the book felt like a bit of a struggle toward the end.
September 28, 2024
As I try to help people, including family, understand what generative AI is about I find this book to be a great resource. Now, I have been looking at it since it was in early access, but I am asking co-workers if we should read it and discuss it as in a book club.
As the title shows, much of this data will become obsolete, so, for example, I don't use OpenAI, but prefer to use Ollama and I use invoke-ai instead of Stability Diffusion, but, these are just tools, the concepts remain consistent.
Do you want to understand what prompt engineering is, he has a chapter on that, and shows various prompts in his example. You may want to use multishot prompts to help the LLM understand how to solve your problem, but if you don't understand the term this book will help.
What are some applications that would be helpful to see as GenAI, well he talks about some of that, and discusses whether you may want to take investment advice from an LLM, but what if you want to try to make sense of the documents generated by companies to explain their risks and how they are doing, these are technical, so why not make it available to an LLM and let it help to make sense of this dense document?
Do you want to understand about creating images using text, he has a chapter on that and gives some examples, and these can help understand the area, even if you don't use those specific tools.
It is a very broad area but the author does a great job giving a introductory discussion on the various areas not just for generating text, but creating workflows to solve problems, so, for example, rather than watching a long video, he shows how to use various tools to take the video, turn it into a transcript then by the time you are done it has been summarized, so you can get to the meat of the video and save yourself time.
Don't read it expecting that the tools are what you should use, he gives enough examples so you can adapt to whatever you choose, and also at the end discusses privacy concerns and other issues exposed in this area.
I strongly recommend the book.
As the title shows, much of this data will become obsolete, so, for example, I don't use OpenAI, but prefer to use Ollama and I use invoke-ai instead of Stability Diffusion, but, these are just tools, the concepts remain consistent.
Do you want to understand what prompt engineering is, he has a chapter on that, and shows various prompts in his example. You may want to use multishot prompts to help the LLM understand how to solve your problem, but if you don't understand the term this book will help.
What are some applications that would be helpful to see as GenAI, well he talks about some of that, and discusses whether you may want to take investment advice from an LLM, but what if you want to try to make sense of the documents generated by companies to explain their risks and how they are doing, these are technical, so why not make it available to an LLM and let it help to make sense of this dense document?
Do you want to understand about creating images using text, he has a chapter on that and gives some examples, and these can help understand the area, even if you don't use those specific tools.
It is a very broad area but the author does a great job giving a introductory discussion on the various areas not just for generating text, but creating workflows to solve problems, so, for example, rather than watching a long video, he shows how to use various tools to take the video, turn it into a transcript then by the time you are done it has been summarized, so you can get to the meat of the video and save yourself time.
Don't read it expecting that the tools are what you should use, he gives enough examples so you can adapt to whatever you choose, and also at the end discusses privacy concerns and other issues exposed in this area.
I strongly recommend the book.
September 18, 2024
This book by David Clinton offers a comprehensive exploration of Large Language Models (LLMs), the most sought after word in the tech world these days. The author has been successful to strike the balance between theoretical rigour and practical application.
It starts with introduction to GenAI basics and highlights some concerns using such a powerful technology, followed by techniques to master the art and science of Prompt engineeringto get the max out of LLMs.
The whole manuscript is written in such a manner that it is easier to follow along for both the novice and experienced programmers, Tech managers & Data Scientist. The best part is the inclusion of insights from contemporary authors and practitioners about how this (GenAI) is going to be unfolded or What's coming Next !
To conclude, this book would be a great read and value for money. Not the Complete Obsolete Guide but the complete Absolute Guide to Generative AI
Displaying 1 - 4 of 4 reviews