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Modern Generative AI with ChatGPT and OpenAI Models

Modern Generative AI with ChatGPT and OpenAI Models

By : Valentina Alto
4.2 (35)
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Modern Generative AI with ChatGPT and OpenAI Models

Modern Generative AI with ChatGPT and OpenAI Models

4.2 (35)
By: Valentina Alto

Overview of this book

Generative 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.
Table of Contents (17 chapters)
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1
Part 1: Fundamentals of Generative AI and GPT Models
4
Part 2: ChatGPT in Action
11
Part 3: OpenAI for Enterprises
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Part 3: OpenAI for Enterprises

This part introduces you to the world of enterprise applications of OpenAI models.

It starts with an introduction of the partnership of OpenAI and Microsoft and the consequent launch to market of Azure OpenAI Service, a cloud-managed service that offers OpenAI models with all the scalability, flexibility, and security typical of cloud-scale architectures.

It then moves toward a practical section where you will have an overview of enterprise use cases. Each use case provides a description of the business scenario and an end-to-end implementation with Python and Azure OpenAI's model APIs. The scenarios covered are HR assistant, contract analysis, call center analytics, and semantic search.

Finally, this part ends with a recap of everything covered in this book, including the latest announcements and releases that have occurred in recent weeks (for example, the introduction of multimodal large models such as GPT-4). It also provides a section...

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