Mastering Large Language Models
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Mastering Large Language Models, Apress
Architectures, Applications, and Real-World Deployments of Large Language Models
Von Ajay Rawat, Vardan Pathak, im heise shop in digitaler Fassung erhältlich
Produktinformationen "Mastering Large Language Models"
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 LLMs like GPT, LLaMA, and Mistral with guided development 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.
Artikel-Details
- Anbieter:
- Apress
- Autor:
- Ajay Rawat, Vardan Pathak
- Artikelnummer:
- 9798868827334
- Veröffentlicht:
- 13.07.26
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