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Book synopsis

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

• Understand the fundamentals of LangChain and Python for LLM development<

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Intermediate Python and Large Language Models
• Author: Dilyan Grigorov
• Language: English
• Binding: Paperback
• Number of pages: 290
• EAN: 9798868814747
• ID: 48313443
• Publisher: Springer, Berlin
• Weight: 607 g
• Dimensions: 254 × 178 mm
• Published: 2025

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