Developing Apps with GPT-4 and ChatGPT - Marie-Alice Blete

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Résumé :
This book is a guide for Python developers who want to learn how to build applications with large language models. The book covers the basics of GPT-4 and ChatGPT, how they work, and their main features and benefits. It also provides a step-by-step guide for developing applications using the GPT-4 and ChatGPT APIs. This includes text generation, Q&A, and content summarization tools. The book is written in clear and concise language, with easy-to-follow examples that help readers understand and apply the concepts to their projects. All Python code examples are available in a GitHub repository. In addition, a glossary includes key terms related to large language models to help readers less familiar with the field better understand the book's content. Python developers who want to quickly harness the power of large language models in their applications won't want to miss this must-read book.

Biographie:
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 (Universit?(c) 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.

Sommaire:

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....