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ai-improving-accuracy

Measure and improve how well your AI works. Use when AI gives wrong answers, accuracy is bad, responses are unreliable, you need to test AI quality, evaluate your AI, write metrics, benchmark performance, optimize prompts, improve results, or systematically make your AI better. Also used for spent hours tweaking prompts, trial and error prompt engineering is not working, quality plateaued early, s

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Atualizado há 4 meses

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Ler descrição completa

Measure and Improve Your AI

Guide the user through measuring how well their AI works, then systematically improving it. This is a loop: define "good" -> measure -> improve -> verify.

The Workflow

  1. Define what "good" means — write a metric
  2. Measure current quality — run an evaluation
  3. Improve — choose an optimizer, run it
  4. Verify — re-evaluate to confirm improvement
  5. Iterate or ship

Step 1: Understand the problem

Ask the user:

  1. **What does your AI get

[Description truncada. Veja o README completo no GitHub.]

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