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.
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Table of Contents

Chapter 1. GPT-4 and ChatGPT Essentials

Chapter 2. A Deep Dive into the OpenAI API

Chapter 3. Navigating LLM-Powered Applications: Capabilities and Challenges

Chapter 4. Advanced LLM Integration Strategies with OpenAI

Chapter 5. Advancing LLM Capabilities with Frameworks, Plug-Ins, and More

Chapter 6. Putting It All Together

Within a mere five days of its release, ChatGPT reached an impressive one million users, sending shock waves throughout the tech industry and beyond. As a side effect, the OpenAI API for AI-powered text generation was suddenly brought to light, despite having been available for three years. The ChatGPT interface showcased the potential of such language models, and suddenly developers and inventors began to realize the incredible possibilities available at their fingertips.

The field of natural language processing has made incredible technical progress over the years, but until recently, use of the technology was limited to an elite few. The OpenAI API and its accompanying libraries provide a ready-to-use solution for anyone seeking to build AI-powered applications. There is no need to have powerful hardware or deep knowledge of artificial intelligence; with just a few lines of code, developers can integrate incredible features into their projects at a reasonable cost.

We combine our knowledge and experience, Olivier as a data scientist and Marie-Alice as a software engineer, to give you a broad understanding of how to develop applications with GPT-4 and ChatGPT. In these pages, you will find clear and detailed explanations of AI concepts, as well as user-friendly guidelines on how to integrate the OpenAI services effectively, securely, and cost-consciously.

This book is designed to be accessible to all, but some basic Python knowledge is preferred. Through clear explanations, example projects, and step-by-step instructions, we invite you to discover with us how GPT-4 and ChatGPT can transform the way we interact with machines.

Review

• "Through practical examples and step-by-step instructions, the authors set forth the path to cutting-edge app development." - Tom Taulli, Author of Generative AI (Apress)
• "Blends theory and hands-on practice seamlessly, making the intricacies of GPT-4 and ChatGPT accessible" -  Lucas Soares, ML Engineer at Biometrid

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.