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Ai engineering building applications with foundation models PDF

 

The Definitive Guide for Modern AI Development In today's AI-driven world, foundation models like GPT-4, Claude, and Llama are revolutionizing how we build technology. But how do you transform experimental prototypes into production-ready applications? Chip Huyen's AI Engineering: Building Applications with Foundation Models provides the answers.

Ebook Details:

  • Author: Chip Huyen
  • Language ‏ : ‎ English
  • Pages ‏ : ‎ 991 pages
  • Price: 13.99$
  • Important note: For quick Download, buy it via Gumroad.

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The Definitive Guide for Modern AI Development

In today's AI-driven world, foundation models like GPT-4, Claude, and Llama are revolutionizing how we build technology. But how do you transform experimental prototypes into production-ready applications? Chip Huyen's AI Engineering: Building Applications with Foundation Models provides the answers.

Why This Book Matters Now

The AI landscape is evolving at breakneck speed. What was cutting-edge six months ago may already be obsolete. This book bridges the crucial gap between theoretical AI advancements and practical implementation, offering:

1. Comprehensive AI Engineering Framework

Move beyond traditional machine learning with focused guidance on:

  • Prompt Engineering: Master the art of crafting effective inputs
  • RAG Systems: Enhance responses with external knowledge retrieval
  • Model Fine-Tuning: Customize foundation models for specialized tasks
  • AI Agents: Build autonomous reasoning systems

2. Real-World Deployment Solutions

Overcome the most common pitfalls in AI application development:

  • Reduce inference costs without sacrificing quality
  • Select optimal models for your specific use cases
  • Implement robust evaluation frameworks
  • Address latency and scalability challenges

3. Future-Proof Your AI Strategy

Stay ahead with insights into:

  • The evolving AI toolchain and ecosystem
  • Emerging "AI-as-judge" evaluation techniques
  • Enterprise adoption best practices

Who Needs This Book?

This essential guide serves multiple audiences:

  • AI/ML Engineers: Transition from prototypes to production
  • Data Teams: Integrate foundation models into workflows
  • Tech Leaders: Understand AI's business impact
  • Researchers: Explore applied AI implementations
  • Aspiring AI Engineers: Build career-critical skills
"A comprehensive, well-structured guide to building generative AI systems. Essential for professionals scaling AI across enterprises."
- Vittorio Cretella, former Global CIO (P&G, Mars)

About the Author: Chip Huyen

Chip Huyen is a recognized authority in AI infrastructure and machine learning systems. With experience at NVIDIA, Snorkel AI, and Stanford University, she brings unparalleled expertise in scalable AI solutions. Her previous book, Designing Machine Learning Systems, is an Amazon #1 AI bestseller translated into 10+ languages.

Ready to Master AI Engineering?

Available now in Kindle Edition, this book provides the practical knowledge you need to:

  • Build robust AI applications
  • Optimize existing implementations
  • Future-proof your AI strategy

Order your copy today and elevate your AI development skills!

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