#benchmarks

A new benchmarking framework evaluates complete AI agent systems—not just models—across six diverse tasks, reporting both quality and cost metrics for practical deployment decisions.

A GitHub repository curates datasets for LLM fine-tuning, instruction tuning, and benchmarking across medical, NLP, multimodal, and code domains.