Developing Apps with GPT–4 and ChatGPT Build Intelligent Chatbots, Content Generators, and More

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 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.