| Management number | 220491343 | Release Date | 2026/05/03 | List Price | $24.00 | Model Number | 220491343 | ||
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This book is a hands-on guide designed to help readers understand, build, and deploy powerful AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, and intelligent chatbots.Starting with the fundamentals―LLM architecture, tokenization, APIs, and fine-tuning―the book gradually builds toward complex, integrated systems. Readers will learn to implement RAG pipelines using vector databases like FAISS and Pinecone, develop autonomous AI agents that complete multi-step tasks, and create real-world chatbots that understand and adapt to user needs. The approach is project-driven: each chapter includes visual explanations, step-by-step code walkthroughs, and deployment-ready examples. From building a personal assistant that searches your notes to creating a scheduling agent, every project reinforces both technical skills and applied understanding. It emphasizes clarity, inclusivity, and real-world relevance―helping readers move confidently from basic understanding to complex applications.Whether you're exploring Agentic AI or looking to build production-ready systems, this book gives you the tools to turn curiosity into capability―and innovation into impact.What you will learn:Build intelligent chatbots and tools using open-source LLMs like GPT, LLaMA, and Mistral with guided deployment steps.Combine LLMs with vector databases like FAISS and Pinecone to create accurate, context-aware AI systems.Design AI agents capable of planning and executing complex workflows for automation and decision-making.Apply prompt engineering, memory, and multimodal tools to build real-world AI apps for your project portfolio.Who this book is for:Machine Learning engineers, data scientists, and AI professionals interested in learning how to build real-world AI systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and intelligent chatbots. Read more
| ISBN13 | 979-8868827327 |
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| Edition | First Edition |
| Language | English |
| Publisher | Apress |
| Item Weight | 1.11 pounds |
| Publication date | July 16, 2026 |
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