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
This member-only story is on us. Upgrade to access all of Medium.
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.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.
Related posts
Recent Posts
