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Intermediate Python And Large Language Models - Nyomtatható verzió +- HHWForum.hu (https://hhwforum.hu) +-- Fórum: Letöltések (https://hhwforum.hu/forumdisplay.php?fid=9) +--- Fórum: E-könyvek (https://hhwforum.hu/forumdisplay.php?fid=57) +---- Fórum: Külföldi könyvek (https://hhwforum.hu/forumdisplay.php?fid=64) +---- Téma: Intermediate Python And Large Language Models (/showthread.php?tid=324366) |
RE: Intermediate Python And Large Language Models - Farid-Khan - 2025-06-30 ![]() English | 2025 | ISBN: 9798868814747 | 342 pages | PDF | 3.11 MB
Catergory: Business & Careers Idézet:Harness the power of Large Language Models (LLMs) to build cutting-edge AI applications with Python and LangChain. This book provides a hands-on approach to understanding, implementing, and deploying LLM-powered solutions, equipping developers, data scientists, and AI enthusiasts with the tools to create real-world AI applications. The journey begins with an introduction to LangChain, covering its core concepts, integration with Python, and essential components such as prompt engineering, memory management, and retrieval-augmented generation (RAG). As you progress, you'll explore advanced AI workflows, including multi-agent architectures, fine-tuning strategies, and optimization techniques to maximize LLM efficiency. The book also takes a deep dive into practical applications of LLMs, guiding you through the development of intelligent chatbots, document retrieval systems, content generation pipelines, and AI-driven automation tools. You'll learn how to leverage APIs, integrate LLMs into web and mobile platforms, and optimize large-scale deployments while addressing key challenges such as inference latency, cost efficiency, and ethical considerations. By the end of the book, you'll have gained a solid understanding of LLM architectures, hands-on experience with LangChain, and the expertise to build scalable AI applications that redefine human-computer interaction. What You Will Learn Contents of Download:[/color] ? 979.8.8688.1475.4.pdf (Matt Harrison) (2015) (3.11 MB) ⋆?- - - - -☽───⛧ ⤝❖⤞ ⛧───☾ - - - -?⋆
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