All Evals Listings
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adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
human-eval
Code for the paper "Evaluating Large Language Models Trained on Code"
evalplus
Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
PyRIT
The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to proactively identify risks in generative AI systems.
hallucination-leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
SWE-bench
[ICLR 2024] SWE-bench: Can Language Models Resolve Real-world Github Issues?
evals
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
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