The InfoQ Podcast
Denys Linkov on Micro Metrics for LLM System Evaluation
Dec 16, 2024
Denys Linkov, Head of Machine Learning at Voiceflow, discusses the vital role of micro metrics in evaluating large language models (LLMs). He highlights how granular assessment enhances user experience and business value. The conversation touches on the challenges of measuring relevant aspects like user engagement and emotional responses from AI. Linkov also delves into prompt engineering complexities and the importance of automated evaluation frameworks. Lastly, he shares insights on AI orchestration for better customer support, focusing on customizable workflows.
24:09
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Quick takeaways
- Micro metrics provide a crucial, granular evaluation method for large language models (LLMs) to enhance user experience and satisfaction.
- Continuous adaptation and domain expertise are essential for refining AI models, ensuring they meet evolving user needs and performance expectations.
Deep dives
Understanding Micrometrics in LLMs
Micrometrics are critical for evaluating large language models (LLMs) because they provide a more granular approach compared to broad metrics like accuracy. They focus on specific issues encountered during production, aligning closely with user experience and value. For example, a significant concern arose when users interacted in non-English languages, only to have responses unexpectedly switch to English, leading to dissatisfaction. By measuring the frequency of these occurrences and implementing a retry mechanism, a solution was found that significantly improved user satisfaction.
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