Building AI Intensive Python Applications. Create intelligent apps with LLMs and vector databases Chorzów

The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.The chapters will help you discover best practices for data preparation, model selection, and fine-tuning, and teach you advanced techniques such as retrieval-augmented generation (RAG) to overcome common challenges, such as hallucinations and data leakage. You’ll get a solid understanding of vector databases, implement effective vector search strategies, refine models for accuracy, and optimize performance to achieve impactful results. You’ll also identify and address AI failures to ensure your applications deliver reliable and valuable results. By evaluating and improving the output of LLMs, you’ll be able to enhance their performance and relevance.By the end of this book, you’ll be well-equipped to build sophisticated AI applications that deliver real-world value. Spis treści: 1. Getting Started with Generative AI2. Building Blocks of Intelligent Applications3. Large Language Models4. Embedding Models5. Vector Databases6. AI/ML Application Design7. Useful Frameworks, Libraries, and APIs8. Implementing Vector Search in AI Applications9. LLM Output Evaluation10. Refining the Semantic Data Model to Improve Accuracy11. Common Failures of Generative AI12. Correcting and Optimizing Your Generative AI Application