Author(s): Konstantin Rink

Originally published on Towards AI.

Evaluation and tracking of your LLM experiments with TruLens

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The development of a Large Language Model application involves many iterations of experimentation. As a developer, your objective is to ensure that the model’s answers align with your specific requirements like informativeness and appropriateness. This process of retesting and evaluation can be quite time-consuming.

This article will show you step-by-step how to automate such a process using TruLens. TruLens is a Python package that contains a set of tools for evaluating your LLM applications.

A colab notebook containing all the example code can be found U+1F449here.

TruLens… Read the full blog for free on Medium.

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Published via Towards AI