Large Language Models: A Practical Handbook for Designing, Building and Deploying Efficient LLMs from scratch
Large Language Model: A Practical Handbook for Designing, Building, and Deploying Efficient LLMs from Scratch
Unlock the power of Large Language Models (LLMs) with this step-by-step guide that simplifies complex concepts into actionable insights. Whether you're a beginner or an AI enthusiast, this book equips you with the knowledge to design, train, and deploy state-of-the-art LLMs, empowering you to master real-world AI applications.
Why This Book?Unlike other resources, this book emphasizes efficiency, scalability, and hands-on implementation, bridging the gap between theory and practice. With practical examples, clear instructions, and advanced topics like reinforcement learning and retrieval-augmented generation, it's your ultimate guide to building robust AI systems.
What You'll Learn: Understand LLM Basics: Grasp core concepts, architectures, and applications.Build Efficient LLMs: Learn to design scalable models optimized for real-world use.Master Data Pipelines: Preprocess and manage large-scale text data effectively.Train Models from Scratch: Develop and fine-tune your own LLMs.Optimize Inference: Implement quantization and compression techniques for faster deployment.Deploy at Scale: Use cloud platforms and distributed systems for production-ready models.Explore Cutting-Edge Topics: Dive into RLHF, RAG pipelines, and more.Operationalize with MLOps: Apply best practices for continuous monitoring and updates.Unique Features: Comprehensive coverage from foundational concepts to advanced techniques.Hands-on examples and templates for practical implementation.Focus on efficiency and scalability to reduce deployment costs.Insights into ethical AI practices and emerging trends.Customer Reviews
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