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.