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12min chapter
Metrics Driven Development
Practical AI: Machine Learning, Data Science, LLM
Evaluating LLMs versus Applications
This chapter explores the critical differences between evaluating language learning models (LLMs) and their applications, highlighting the diverse evaluation needs of researchers and application builders. It emphasizes the shift towards metrics-driven development and the necessity for intuitive evaluation tools that cater to the unique, non-deterministic nature of AI systems.
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Discover
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