Building an Evaluation Harness
Building a production evaluation harness for LLMs - lm-evaluation-harness architecture, custom task integration, CI/CD evaluation gates, versioned evaluation datasets, and automated regression detection.
Building a production evaluation harness for LLMs - lm-evaluation-harness architecture, custom task integration, CI/CD evaluation gates, versioned evaluation datasets, and automated regression detection.
Evaluating LLMs on code generation tasks - HumanEval, MBPP, LiveCodeBench, SWE-bench, pass@k metric, EvalPlus, execution-based evaluation, security testing, and building sandboxed evaluation environments.
Evaluating LLM long-context capability - the Needle in a Haystack test, RULER benchmark, lost-in-the-middle phenomenon, and measuring effective context utilization vs claimed context window size.
Understanding the HuggingFace Open LLM Leaderboard, what each benchmark actually measures, how contamination distorts scores, and how to use leaderboard numbers to make real deployment decisions.
Evaluating LLM mathematical and logical reasoning - GSM8K, MATH, AIME benchmarks, chain-of-thought evaluation, process reward models, self-consistency voting, and measuring multi-step reasoning quality.
Building evaluation suites tailored to your production use case - test set curation, annotation, metric selection, LLM-as-judge, and automated scoring pipelines that actually predict deployment quality.