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.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.