| 000 -LEADER |
|---|
| fixed length control field |
02257cam a22002657i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
jomaaum |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250723144232.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
|---|
| fixed length control field |
m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230531s2023 enka ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781805123330 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.N38 |
| Item number |
A48 2023 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.35 |
| Edition number |
23 |
| Item number |
A469 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Alto, Valentina, |
| 9 (RLIN) |
46835 |
| 245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Title |
Modern generative AI with ChatGPT and OpenAI models : |
| Remainder of title |
leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4 / |
| Statement of responsibility, etc |
Valentina Alto |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Birmingham, UK : |
| Name of publisher, distributor, etc |
Packt Publishing Ltd., |
| Date of publication, distribution, etc |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 271 p : |
| Other physical details |
illustrations |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index |
| 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 |
| 630 00 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
ChatGPT |
| 9 (RLIN) |
46308 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Natural language processing (Computer science) |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| 9 (RLIN) |
46836 |
|
|---|
| Topical term or geographic name as entry element |
computer programs |
| 9 (RLIN) |
26961 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Book |
