Patterns for Building Cybersecurity Evals
A sandboxed target, inputs that influence task difficulty, tools, and a grader.
7 stories
A sandboxed target, inputs that influence task difficulty, tools, and a grader.
Label some data, align LLM-evaluators, and run the eval harness with each change.
Evaluation metrics, how to build eval datasets, eval methodology, and a review of several benchmarks.
Applying the scientific method, building via eval-driven development, and monitoring AI output.
Look at and label your data, build and evaluate your LLM-evaluator, and optimize it against your labels.
Being a human judge at the Weights & Biases LLM-as-a-Judge Hackathon
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.
Showing 7 of 7 stories
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