Pathak Vardan (7 results)
- Softcover
Seller: California Books, Miami, FL, U.S.A.California Books
Contact seller4-star sellerCondition: New
US$ 54.00
Free ShippingShips within U.S.A.Quantity: Over 20 available
Condition: New.
- Softcover
Seller: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
Contact seller5-star sellerCondition: New
US$ 93.10
Free ShippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: New. 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-tu…ning-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.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.
- Softcover
Seller: Rarewaves.com USA, London, LONDO, United KingdomRarewaves.com USA
Contact seller5-star sellerCondition: New
US$ 94.85
Free ShippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: New. 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-tu…ning-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.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.
- Softcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
Contact seller4-star sellerCondition: New
US$ 86.88
US$ 8.80 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Condition: New.
- Softcover
Seller: moluna, Greven, Germanymoluna
Contact seller5-star sellerCondition: New
US$ 91.80
US$ 56.71 shippingShips from Germany to U.S.A.Quantity: 2 available
Condition: New.
- Softcover
Seller: Rarewaves USA United, OSWEGO, IL, U.S.A.Rarewaves USA United
Contact seller5-star sellerCondition: New
US$ 98.43
US$ 50.00 shippingShips within U.S.A.Quantity: 1 available
Paperback. Condition: New. 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-tu…ning-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.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.
- Softcover
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
Contact seller5-star sellerCondition: New
US$ 92.15
US$ 87.98 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Paperback. Condition: New. 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-tu…ning-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.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.
