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Modern Generative AI with ChatGPT and OpenAI Models: Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI
Purchase of the print or Kindle book includes a free PDF eBook
Key FeaturesExplore the theory behind generative AI models and the road to GPT3 and GPT4Become familiar with ChatGPT's applications to boost everyday productivityLearn to embed OpenAI models into applications using lightweight frameworks like LangChainBook DescriptionGenerative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data.
Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster.
You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications.
By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects.
What you will learnUnderstand generative AI concepts from basic to intermediate levelFocus on the GPT architecture for generative AI modelsMaximize ChatGPT's value with an effective prompt designExplore applications and use cases of ChatGPTUse OpenAI models and features via API callsBuild and deploy generative AI systems with PythonLeverage Azure infrastructure for enterprise-level use casesEnsure responsible AI and ethics in generative AI systemsWho this book is forThis book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models.
A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.
Table of ContentsIntroduction to Generative AIOpenAI and ChatGPT – Beyond the Market HypeGetting Familiar with ChatGPTUnderstanding Prompt DesignBoosting Day-to-Day Productivity with ChatGPTDeveloping the Future with ChatGPTMastering Marketing with ChatGPT
Purchase of the print or Kindle book includes a free PDF eBook
Key FeaturesExplore the theory behind generative AI models and the road to GPT3 and GPT4Become familiar with ChatGPT's applications to boost everyday productivityLearn to embed OpenAI models into applications using lightweight frameworks like LangChainBook DescriptionGenerative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you understand how these models are trained to generate new data.
Next, you'll explore use cases where ChatGPT can boost productivity and enhance creativity. You'll learn how to get the best from your ChatGPT interactions by improving your prompt design and leveraging zero, one, and few-shots learning capabilities. The use cases are divided into clusters of marketers, researchers, and developers, which will help you apply what you learn in this book to your own challenges faster.
You'll also discover enterprise-level scenarios that leverage OpenAI models' APIs available on Azure infrastructure; both generative models like GPT-3 and embedding models like Ada. For each scenario, you'll find an end-to-end implementation with Python, using Streamlit as the frontend and the LangChain SDK to facilitate models' integration into your applications.
By the end of this book, you'll be well equipped to use the generative AI field and start using ChatGPT and OpenAI models' APIs in your own projects.
What you will learnUnderstand generative AI concepts from basic to intermediate levelFocus on the GPT architecture for generative AI modelsMaximize ChatGPT's value with an effective prompt designExplore applications and use cases of ChatGPTUse OpenAI models and features via API callsBuild and deploy generative AI systems with PythonLeverage Azure infrastructure for enterprise-level use casesEnsure responsible AI and ethics in generative AI systemsWho this book is forThis book is for individuals interested in boosting their daily productivity; businesspersons looking to dive deeper into real-world applications to empower their organizations; data scientists and developers trying to identify ways to boost ML models and code; marketers and researchers seeking to leverage use cases in their domain – all by using Chat GPT and OpenAI Models.
A basic understanding of Python is required; however, the book provides theoretical descriptions alongside sections with code so that the reader can learn the concrete use case application without running the scripts.
Table of ContentsIntroduction to Generative AIOpenAI and ChatGPT – Beyond the Market HypeGetting Familiar with ChatGPTUnderstanding Prompt DesignBoosting Day-to-Day Productivity with ChatGPTDeveloping the Future with ChatGPTMastering Marketing with ChatGPT
286 pages, Kindle Edition
Published May 26, 2023
10 people are currently reading
16 people want to read
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Displaying 1 - 5 of 5 reviews
November 5, 2024
The part that I read seemed poorly edited. It seems unsure of who its audience is. The author explains that Machine Learning is part of the overarching topic of Artificial Intelligence, and a couple of pages later just assumes that the reader is familiar with terms like "learning gradient".
When the book mentioned an "earlier example" that does not, in fact, appear in the book, I put it down.
When the book mentioned an "earlier example" that does not, in fact, appear in the book, I put it down.
February 23, 2024
Was a very informative book about the new kid in the block, GPT. Author starts with overview of Generative AI and gives a list of use cases across industries. I formed few ideas of my own by reading some of the use cases. Highly recommend for product owners and engineers, to know the potential of Generative AI and LLM. And how to use them for your advantage and be productive at work.
August 26, 2023
Superficial
Mostly superficial and overly generic advice with very little insight. Could have been written with ChatGPT. You’re better off discussing the topics with your favourite GPT rather than buying this book.
Mostly superficial and overly generic advice with very little insight. Could have been written with ChatGPT. You’re better off discussing the topics with your favourite GPT rather than buying this book.
June 23, 2023
A 101-201 level book.
February 21, 2024
Good coverage of RNN and Transformer architecture in Chapters 1 and 2.
Displaying 1 - 5 of 5 reviews