Building AI Intensive Python Applications - Create Intelligent Apps with LLMs and Cector Databases

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 in...

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Bibliographische Detailangaben
Hauptverfasser: Narváez Sigfrido, Ranjan Shubham, Perlmutter Ben, Alake Richmond, Palmer Rachelle, Rueckstiess Thomas, Larew Nicholas, Gangadhar Ashwin, Weller Henry
Format: E-Book
Sprache:Englisch
Veröffentlicht: Packt Publishing 2024
Schlagworte:
Programming Languages
Software Engineering
ISBN:1836207255, 9781836207252
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
ISBN:1836207255
9781836207252