Ep 28: LangChain CEO Harrison Chase on the Current State of Eval and Agents and The LLM Apps that Will Define 2024
Unsupervised Learning
Maximizing Automated Metrics Evaluation
Transitioning towards automated metrics evaluation is the goal for many teams to enhance efficiency. Teams are exploring human-in-the-loop models to facilitate the evaluation process effectively. The choice of aggregating metrics depends on the specific needs, sometimes requiring perfect scores while in other cases, a comparative improvement is sufficient. The frequency of evaluation varies as it is resource-intensive and prone to errors, often conducted before releases. Efforts are being made to reduce the manual component to enable more frequent evaluations similar to running software unit tests in Continuous Integration (CI).
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