LLMs, RAG and Agents
by Owen Martin
Unlock the Future of Generative AI with LLMs, RAG, and Intelligent AgentsDive into the cutting-edge world of generative AI system design with LLMs, RAG, and Agents. This book provides a comprehensive roadmap for machine learning engineers, data scientists, and AI practitioners eager to design, deploy, and scale sophisticated AI systems. Learn how large language models (LLMs), retrieval-augmented generation (RAG), and autonomous agents come together to create intelligent, self-improving applications that push the boundaries of modern AI.What Makes This Book Different?Unlike theoretical AI texts, this book focuses on practical, system-level design. It bridges the gap between advanced AI concepts and real-world application, offering clear diagrams, workflow architectures, and step-by-step guidance on building robust AI pipelines. The book emphasizes integration-showing how LLMs, RAG, and agents interact to power high-performing, intelligent systems, making it an indispensable resource for engineers who want actionable insights, not just theory.Inside the Book
- In-depth exploration of LLM architectures, fine-tuning, and deployment strategies.
- Comprehensive coverage of RAG pipelines for context-aware generation.
- Designing and managing autonomous agents for complex AI workflows.
- System-level blueprints, diagrams, and case studies demonstrating AI at scale.
- Best practices for efficiency, reliability, and maintainability in AI system design.
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