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Evaluate and Monitor the Experiments With Your LLM App
Data Science   Latest   Machine Learning

Evaluate and Monitor the Experiments With Your LLM App

Last Updated on August 1, 2023 by Editorial Team

Author(s): Konstantin Rink

Originally published on Towards AI.

Evaluation and tracking of your LLM experiments with TruLens

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Photo by Jonathan Diemel on Unsplash

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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