GitHub / finitearth / capo
We introduce CAPO, a novel prompt optimization algorithm that integrates racing and multi-objective optimization for cost-efficiency and leverages few-shot examples and task descriptions, outperforming SOTA discrete prompt optimization methods.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/finitearth%2Fcapo
PURL: pkg:github/finitearth/capo
Stars: 10
Forks: 0
Open issues: 0
License: apache-2.0
Language: Jupyter Notebook
Size: 159 MB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: about 14 hours ago
Pushed at: about 14 hours ago
Last synced at: about 13 hours ago
Topics: automated-prompt-engineering, automated-prompt-optimization, llm, prompt, prompt-engineering, prompt-optimization, prompt-tuning