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  1. A Task-Level Framework for Evaluating AI Agents

    The ETF Agent evaluation framework argues that a green test only confirms that a check passed under defined conditions, not that the user’s task was completed. It recommends separating runtime behavior, evidence retrieval, content judgment and user outcomes, while preserving failed, inconclusive and corrected observations so model and system quality can be compared on a valid denominator. The article combines practical guidance on RAG, traces, model judges, sub-agent contributions and cost with historical examples from its own development process.

    掘金 · 人工智能 · 🔥 0

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tailwindcss: A utility-first CSS framework for rapidly building custom user interfaces.

What problem it solves Tailwind CSS provides a utility-first approach to building custom user interfaces. Its repository includes packages, integrations, playgrounds, and tooling for developing and validating the framework. Key features Custom UI development — The framework is designed around rapidly building custom user interfaces through a utility-first CSS approach. Source: README Package-based…

github.comhttps://github.com/tailwindlabs/tailwindcss