Developing Apps with GPT–4 and ChatGPT, 2e : Build Intelligent Chatbots, Content Generators, and More
Book Details
Format
Paperback / Softback
ISBN-10
1098168100
ISBN-13
9781098168100
Publisher
O'Reilly Media
Imprint
O'Reilly Media
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jul 26th, 2024
Print length
250 Pages
Weight
472 grams
Dimensions
17.60 x 23.40 x 1.70 cms
Ksh 8,650.00
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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.
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.
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