trulens-evaluation-workflow

Orchestrates end-to-end TruLens evaluation workflows for LLM apps.

3.5k|319|Updated Nov 2, 2020
One-click install
npx skills add https://github.com/truera/trulens --skill trulens-evaluation-workflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trulens-evaluation-workflow
Source: https://github.com/truera/trulens/tree/main/skills
Command: npx skills add https://github.com/truera/trulens --skill trulens-evaluation-workflow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines end-to-end evaluation workflows for TruLens-enabled LLM applications.

Core Features & Use Cases

  • Comprehensive workflow: Instrument, curate, configure, run, and compare evaluations across versions.
  • Cross-skill integration: Coordinates between instrumentation, dataset-curation, evaluation-setup, and running-evaluations to deliver end-to-end insights.
  • Team collaboration: Enables structured evaluation results and dashboards to inform product decisions.

Quick Start

Start by wiring TruLens instrumentation to your app, then configure your evaluations with the evaluation-setup skill, run evaluations with the running-evaluations skill, and review results on the leaderboard dashboard.

Frequently Asked Questions about trulens-evaluation-workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate LLM application performance across different versions?

To evaluate LLM applications across versions, you instrument your app, curate datasets, configure metrics, run experiments, and compare results on a leaderboard dashboard to deliver end-to-end insights.

What is the best way to set up an end-to-end LLM evaluation workflow?

The best way to set up an LLM evaluation workflow is to wire instrumentation to your app, configure metrics, run evaluations, and review structured results on a dashboard to coordinate cross-skill insights.

How does dashboard instrumentation work for LLM app evaluations?

Dashboard instrumentation works by wiring TruLens into your LLM app to track evaluation metrics, which then feeds structured results into a leaderboard dashboard for cross-version comparison and team collaboration.

Do I need to curate test datasets before running LLM evaluations?

Yes, you need to curate test datasets before running evaluations. This workflow coordinates dataset-curation alongside instrumentation, evaluation-setup, and running-evaluations components to execute experiments effectively.

Can I compare evaluation results across multiple LLM app versions?

Yes, you can compare evaluation results across multiple LLM app versions. The workflow executes experiments and generates structured results on a leaderboard dashboard to compare performance and inform team decisions.

When should I use a structured workflow for LLM evaluations?

You should use a structured workflow for LLM evaluations when you need to coordinate instrumentation, dataset-curation, and metric configuration to systematically compare app versions and generate collaborative dashboard insights.