Explore the rapidly evolving field of AI engineering with this essential guide by Chip Huyen. Recent AI breakthroughs have lowered the barrier to entry, transforming model-as-a-service into a powerful development tool accessible to those with minimal prior AI experience. This book focuses on the practical process of building applications using readily available foundation models.

Key Features/Benefits

• Understand AI engineering and how it diverges from traditional ML engineering, including an overview of the new AI stack.
• Learn a comprehensive framework for developing AI applications, progressing from simple techniques to more sophisticated methods.
• Examine various model adaptation techniques such as prompt engineering, RAG, fine-tuning, agents, and dataset engineering.
• Discover approaches for evaluating open-ended models, including the growing AI-as-a-judge methodology, crucial for mitigating catastrophic failures.
• Gain insight into overcoming bottlenecks related to latency and cost when serving foundation models.
• Navigate the AI landscape, selecting appropriate models, datasets, evaluation benchmarks, and metrics for specific use cases.

Author Expertise

Authored by Chip Huyen, who works to accelerate data analytics on GPUs at Voltron Data.

Specifications

• Author: Chip Huyen
• Binding: Paperback
• Language: English
• Print Length: 532 pages
• ISBN-10: 1098166302
• ISBN-13: 978-1098166304
• Dimensions: 175x28x229mm
• Weight: 930g
• Publication Date: December 20, 2024

This O'Reilly title provides AI application developers with the necessary knowledge to efficiently deploy robust AI solutions using modern foundation models.