Developing Apps with GPT-4 and ChatGPT (Paperback)

Olivier Caelen

ISBN 10: 1098168100 / ISBN 13: 9781098168100

Editore: O'Reilly Media, Sebastopol, 2024

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Paperback. 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 workHow to integrate these models into Python-based applications, leveraging natural language processing capabilities and overcoming specific LLM-related challengesExamples of applications demonstrating the OpenAI API in Python for tasks including text generation, question answering, content summarization, classification, and moreAdvanced LLM topics such as prompt engineering, fine-tuning models for specific tasks, RAG, plug-ins, LangChain, LlamaIndex, GPTs, and assistantsOlivier 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Codice articolo 9781098168100

Dati bibliografici

• Titolo: Developing Apps with GPT-4 and ChatGPT (Paperback)
• Editore: O'Reilly Media, Sebastopol
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1098168100
• ISBN 13: 9781098168100
• Rilegatura: Paperback
• Edizione: seconda edizione
• Condizione: new

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Riassunto

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.