Users welcomed Tempo's Stable-Bench-V1 launch for AI agent integrations because it delivers reliable metrics that do not lie along with open-source evals that invite collaboration.
Based on 3 visible X reactions from 4 accounts; directional sample.
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The evals and analysis are open source and we would love to collaborate and learn from others who are on the frontier of coding evals with @harborframework 🧑🔬 https://github.com/tempoxyz/tempo-evals
@brendan_j_ryan @tempo neat, congrats on the launch
@brendan_j_ryan @tempo finally, metrics that don’t lie
We've been trying out this benchmarking framework from @Tempo and it's really a useful way to score how agents understand your documentation.
Users welcomed Tempo's Stable-Bench-V1 launch for AI agent integrations because it delivers reliable metrics that do not lie along with open-source evals that invite collaboration.
Based on 3 visible X reactions from 4 accounts; directional sample.
Ask a question below.
Published answers will appear here.