Mastering Large Language Models with Python

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A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise Book Description “Mastering Large Language Models with Python” is an indispensable resource that offers a comprehensive exploration of Large Language Models (LLMs), providing the essential knowledge to leverage these transformative AI models effectively. From unraveling the intricacies of LLM architecture to practical applications like code generation and AI-driven recommendation systems, readers will gain valuable insights into implementing LLMs in diverse projects. Covering both open-source and proprietary LLMs, the book delves into foundational concepts and advanced techniques, empowering professionals to harness the full potential of these models. Detailed discussions on quantization techniques for efficient deployment, operational strategies with LLMOps, and ethical considerations ensure a well-rounded understanding of LLM implementation. Through real-world case studies, code snippets, and practical examples, readers will navigate the complexities of LLMs with confidence, paving the way for innovative solutions and organizational growth. Whether you seek to deepen your understanding, drive impactful applications, or lead AI-driven initiatives, this book equips you with the tools and insights needed to excel in the Dynamic landscape of artificial intelligence. Table of Contents The Basics of Large Language Models and Their Applications Demystifying Open-Source Large Language Models Closed-Source Large Language Models LLM APIs for Various Large Language Model Tasks Integrating Cohere API in Google Sheets Dynamic Movie Recommendation Engine Using LLMs Document-and Web-based QA Bots with Large Language Models LLM Quantization Techniques and Implementation Fine-tuning and Evaluation of LLMs Recipes for Fine-Tuning and Evaluating LLMs LLMOps - Operationalizing LLMs at Scale Implementing LLMOps in Practice Using MLflow on Databricks Mastering the Art of Prompt Engineering Prompt Engineering Essentials and Design Patterns Ethical Considerations and Regulatory Frameworks for LLMs Towards Trustworthy Generative AI (A Novel Framework Inspired by Symbolic Reasoning) Index

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Pages: 554, Paperback, Orange Education Pvt Ltd