awesome-repositories.com
博客
MCP
awesome-repositories.com

通过 AI 驱动的搜索,发现最优秀的开源仓库。

探索精选搜索开源替代品自托管软件博客网站地图
项目MCP 服务器关于排名机制媒体报道
法律隐私政策服务条款
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

1 个仓库

Awesome GitHub RepositoriesOptimization and Evaluation Methodologies

Quantitative and iterative processes for refining and measuring prompt efficacy, distinct from the creation of the prompts themselves.

Explore 1 awesome GitHub repository matching artificial intelligence & ml · Optimization and Evaluation Methodologies. Refine with filters or upvote what's useful.

Awesome Optimization and Evaluation Methodologies GitHub Repositories

用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
  • lobehub/lobehublobehub 的头像

    lobehub/lobehub

    78,736在 GitHub 上查看↗

    LobeHub is a comprehensive multi-agent orchestration platform designed for building, configuring, and deploying specialized AI agents. It provides a unified chat-based gateway that allows users to manage autonomous agent teams across web, desktop, and mobile environments. By utilizing a framework that supports persistent memory and granular tool integration, the platform enables the execution of complex, multi-step workflows and domain-specific tasks. The platform distinguishes itself through an interactive artifact renderer that injects dynamic, visual UI elements directly into the chat stre

    Apply iterative evaluation methodologies to measure and refine prompt performance for optimal model output.

    TypeScriptagentagent-collaborationagent-harness
    在 GitHub 上查看↗78,736
  1. Home
  2. Artificial Intelligence & ML
  3. Prompt Engineering
  4. Optimization and Evaluation Methodologies