Modern Generative AI with ChatGPT and OpenAI Models : Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 (Record no. 51170)

MARC details
000 -LEADER
fixed length control field 01845 a2200169 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250822172956.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781805123330
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.35 ALT
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Alto, Valentina
245 ## - TITLE STATEMENT
Title Modern Generative AI with ChatGPT and OpenAI Models : Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Packt Publishing
Date of publication, distribution, etc 2023
Place of publication, distribution, etc Birmingham
300 ## - PHYSICAL DESCRIPTION
Extent 271
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Generative AI
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element ChatGPT
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Source of classification or shelving scheme Dewey Decimal Classification

No items available.