Evals
PulseAugur coverage of Evals — every cluster mentioning Evals across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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Supabase releases open-source benchmark for AI coding agents · 2 sources tracked
Supabase has released an open-source benchmark and framework called Evals to evaluate AI coding agents. The tool tests agents like Claude Code, Codex, and OpenCode on real-world Supabase tasks, such as schema creation a…
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LLM judges introduce systematic biases, skewing evaluations
Using Large Language Models (LLMs) as judges for evaluating other LLM outputs introduces systematic biases, such as position, verbosity, and self-preference, which cannot be averaged out like random noise. These biases …
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New AI tools aim to improve agent reliability and developer control
Agnost AI has launched a tool designed to identify and fix AI agent failures that occur in real-world production environments, which are often missed by traditional testing methods like Evals. The platform analyzes live…
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AI Engineering Trends: Harnessing and Evaluating Advanced Systems
The field of AI engineering is seeing significant trends in harness engineering and evaluation methods. These advancements are crucial for developing and refining artificial intelligence systems. The discussion highligh…
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LLMOps integrates Evals, Observability, and Security into CI/CD pipelines
This article details the implementation of LLMOps, a specialized form of MLOps focused on managing Large Language Models. It emphasizes the integration of Evals, Observability, and Security into automated CI/CD pipeline…
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AI Agents Enhanced Via Evals: Measure, Analyze, Improve Cycle
This article discusses how to improve AI agent quality through a continuous cycle of measurement, analysis, improvement, and re-measurement using the Evals framework. It emphasizes the importance of quantitatively asses…