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ai-improving-accuracy

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Measure and improve AI accuracy with metrics.

Software Engineering#optimization#metrics#benchmark#evaluate#evaluation-framework#ai-improvement
Authorlebsral
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Measure and improve how well your AI performs by defining evaluation metrics, running tests, and iterating on prompts and data.

Core Features & Use Cases

  • Define metrics to score AI outputs (accuracy, consistency, and factuality) across tasks.
  • Run automated evaluations and compare baselines to quantify improvements.
  • Apply optimization strategies (BootstrapFewShot, MIPROv2, GEPA, BootstrapFinetune) to enhance performance in production-like settings.
  • Use-case example: verify a chatbot's answers on a QA set and drive systematic improvements through metric-driven feedback.

Quick Start

Define a metric, run an evaluation on your development set, and apply an optimizer to improve results.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai-improving-accuracy
Download link: https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills/archive/main.zip#ai-improving-accuracy

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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