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Product Description
AI Engineering: Building Applications with Foundation Models
The definitive hands-on guide for engineers building real-world AI products with large language models and foundation models.
About This Book
AI Engineering by Chip Huyen (O’Reilly Media) is the go-to resource for software engineers and ML practitioners who want to move beyond experimentation and ship production-grade AI applications. Chip draws from her deep industry experience to deliver a practical, systems-thinking approach to AI development.
Key Topics Covered
- Foundation models: GPT, Gemini, Claude, Llama — how to choose and use them
- Prompt engineering and chain-of-thought reasoning
- Retrieval-Augmented Generation (RAG) for grounded, accurate AI responses
- Fine-tuning models for domain-specific applications
- Building agentic AI systems and multi-step workflows
- Evaluation frameworks: measuring quality, safety, and reliability
- Deployment strategies: latency, cost, and scalability at production scale
Who Is This Book For?
Ideal for software engineers, data scientists, ML engineers, and tech leads who want to build and deploy AI-powered products using the latest foundation models — without getting lost in research papers.
Book Details
- Author: Chip Huyen
- Publisher: O’Reilly Media
- ISBN-10: 1098166302
- ISBN-13: 978-1098166304
- Language: English
- Subjects: LLMs, Generative AI, RAG, Prompt Engineering, MLOps, AI Systems Design
From prototype to production — AI Engineering gives you the blueprint to build intelligent applications that actually work in the real world.
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