你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Ultimate LLMOps for LLM Engineering: Engineering Reliable, Observable, and Scalable LLM Systems
Type
Physical Book
Publisher
Author
Language
English
Pages
346
Format
Paperback
Dimensions
23.5x19.1x1.8 cm
ISBN13
9789349887534

Ultimate LLMOps for LLM Engineering: Engineering Reliable, Observable, and Scalable LLM Systems

Dand, Kinjal (Author) · Orange Education Pvt Ltd · Paperback

Ultimate LLMOps for LLM Engineering: Engineering Reliable, Observable, and Scalable LLM Systems - Dand, Kinjal

New Book Imported to Taiwan
Delivery: 22 Oct - 30 Oct Shipping: 6 to 7 business days.
NT$ 1,578
NT$ 1,578

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Ultimate LLMOps for LLM Engineering: Engineering Reliable, Observable, and Scalable LLM Systems"

From Prototype to Production-Grade LLM Systems.Key Features● Get a free one-month digital subscription to www.avaskillshelf.com● End-to-end coverage of modern LLMOps, from fundamentals to production deployment and monitoring.● Hands-on prompt management, LLM chaining, RAG, and building AI agent examples.Book DescriptionLarge Language Models (LLMs) are transforming how organizations build intelligent applications, yet taking them from experimentation to reliable production systems requires a new discipline-LLMOps. Ultimate LLMOps for LLM EngineeringU offers a comprehensive journey through the principles, tools, and workflows essential for operationalizing LLMs with confidence and efficiency. It begins by demystifying LLM fundamentals, model behavior, and the evolving landscape of MLOps, giving readers the context needed to design scalable AI systems.What you will learn● Understand LLM foundations and how they integrate with the MLOps ecosystem.● Build robust prompt strategies, LLM chains, and RAG pipelines for complex workflows.● Design and deploy AI agents and autonomous LLM-driven systems.● Serve, scale, monitor, and evaluate LLMs across cloud and on-prem environments.Who is This Book For?This book is tailored for GenAI Developers, Machine Learning Engineers, and Data Scientists who want to build, deploy, and manage LLM-powered systems at scale. Readers should have foundational knowledge of AI/ML concepts, basic NLP familiarity, and experience with Python programming to fully benefit from the content.Table of Contents1. Unveiling the World of Large Language Models2. Getting Started with MLOps3. Mastering Prompt Management for LLMs4. The Power of LLM Chaining5. Retrieval Augmentation Generation6. AI Agents and Autonomous Systems7. Deploying Large Language Models8. Model Monitoring and Evaluation9. LLM Fine-tuning and Adaptation10. LLM Security, Privacy, and Drift Detection11. LLMOps with Langfuse12. Real-World Examples and Emerging Trends Index

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews