Developing Apps with GPT-4 and ChatGPT

Olivier Caelen

ISBN 10: 1098168100 / ISBN 13: 9781098168100

Published by O'reilly Media Sep 2024, 2024

About this Item

Neuware -This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants. 257 pp. Englisch.

Seller Inventory # 9781098168100

Bibliographic Details

• Title: Developing Apps with GPT-4 and ChatGPT
• Publisher: O'reilly Media Sep 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 1098168100
• ISBN 13: 9781098168100
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 229W x 174H x 15D millimeters 229 millimeters width by 174 millimeters height by 15 millimeters depth
• Weight: 482 grams

About this title

Synopsis

This book provides an ideal guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and GPT-3.5 models and explain how they work. You'll also get a step-by-step guide for developing applications using the OpenAI Python library, including text generation, Q&A, and smart assistants.

Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must.

You'll learn:

• Fundamentals and benefits of GPT-4 and GPT-3.5 models, including the main features and how they work
• How to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challenges
• Examples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and more
• Advanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistants

Olivier Caelen is a machine learning researcher at Worldline and teaches machine learning courses at the University of Brussels.

Marie-Alice Blete, a software architect and data engineer in Worldline's R&D department, is interested in performance and latency issues associated with AI solutions.

About the Authors

Olivier Caelen is a machine learning researcher at Worldline, a paytech pioneer for seamless payment solutions. He also teaches an introductory ML course and an advanced DL course at the university (Université libre de Bruxelles). He holds two master's degrees (in statistics and computer science) and a Ph.D. in machine learning. Olivier Caelen is co-author of 45 publications in international peer-reviewed scientific journals/conferences and co-inventor of 6 patents.

Marie-Alice Blete currently works at Worldline's R&D department as a software architect and data engineer. She preaches engineering best practices to her fellow Data Scientists colleagues and is particularly interested in the performance and latency issues associated with the deployment of AI solutions. She is also a developer advocate and enjoys sharing her knowledge and engaging with the community as a tech speaker.