Prompt Evaluations

by v1.0.0

Welcome to Anthropic's comprehensive course on prompt evaluations, designed to equip you with the essential skills to effectively assess and refine your AI model interactions. Across nine meticulously structured lessons, you will delve into the methodologies and tools necessary to implement robust evaluation workflows successfully with the Anthropic API.

This course covers a spectrum of evaluation types, from foundational human-graded assessments using Anthropic's Workbench to advanced code-graded, classification, and sophisticated model-graded evaluations leveraging promptfoo. By the end, you will possess a deep understanding of how to systematically measure, analyze, and improve the performance and reliability of your AI prompts, ensuring optimal outcomes for your applications.

What It Does

This skill provides a structured learning path to master prompt evaluation techniques. It guides users through creating and implementing various evaluation types, human-graded, code-graded, and model-graded, to assess and improve AI model performance effectively.

When To Use

Developing and refining AI prompts for optimal performance.
Benchmarking different prompt strategies or model versions.
Ensuring quality and consistency of AI model outputs.
Integrating evaluation workflows into AI development pipelines.
Learning best practices for prompt engineering and evaluation.

Inputs

The skill expects user engagement with course materials, potentially requiring code execution environments, Anthropic API keys, and promptfoo installations. It processes user-defined prompts and evaluation criteria.

Outputs

The skill produces a comprehensive understanding of prompt evaluation methodologies, practical experience with evaluation tools, and the ability to design and implement robust evaluation workflows for AI applications.

Limitations

Requires familiarity with basic programming concepts and potentially an Anthropic API key for practical exercises. The course is focused on Anthropic's ecosystem and promptfoo, so direct applicability to other evaluation frameworks might require adaptation.

Installation

Copy to ~/.claude/skills/

View Claude (Anthropic) documentation

Add to Copilot workspace settings

View GitHub Copilot documentation

Configure in .aider.conf.yml

View Aider documentation

Add to .cursor/skills/

View Cursor IDE documentation

Add to Cline skills directory

View Cline documentation

Add to .vscode/skills/

View VS Code documentation

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