Continual Learning Bench: measuring whether AI systems actually improve with experience

Parth Asawa (UC Berkeley) presents Continual Learning Bench, the first expert-validated benchmark built to measure whether LLM-based systems genuinely improve with experience, spanning six real-world domains from software engineering to outbreak forecasting. The post Continual Learning Bench: measuring whether AI systems actually improve with experience appeared first on Snorkel AI .