Developing Apps with GPT-4 and ChatGPT

Key Features of This Book:
1. Project-Based Learning: Every chapter contains practical exercises and mini-projects, ensuring you learn by building. The book concludes with a comprehensive capstone project to solidify your skills.
2. Beginner-Friendly Approach: We start from the ground up. No prior experience with AI or LLMs is needed. All you need is a basic understanding of a programming language like Python or jаvascript.
3. Simplified Concepts: Complex topics like prompt engineering, Retrieval-Augmented Generation (RAG), function calling, and autonomous agents are broken down into easy-to-understand modules.
4. Focus on Latest API Features: The book covers the most up-to-date and powerful features of the OpenAI API, including function calling for tool integration, managing conversation history, and using embeddings for semantic search.
5. Strong Ethical Framework: A dedicated chapter on Responsible AI addresses crucial topics like bias, fairness, transparency, and the safe deployment of LLM-powered applications.
6. Ready-to-Run Code: All code examples provided in the book are complete, tested, and designed to be easily adapted for your own projects.
7. Capstone Project: Build a "Personalized AI Study Assistant," an application that showcases your ability to integrate various advanced techniques like RAG, conversation management, and user-centric design.
The book adopts a "learn-by-doing" methodology. Instead of drowning you in dense theory, each chapter focuses on a core concept, explains it in simple terms, and then immediately guides you through building small, functional examples. This hands-on approach ensures that you not only grasp the theoretical underpinnings but also gain the practical skills required to build real-world, intelligent applications.

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