test time learning

The test time learning tag on WindowsForum.com covers Microsoft Research's EvoLib framework, which enables API-hosted large language models to improve from prior attempts without retraining weights, ground-truth labels, or external reward signals. The approach addresses a practical limitation for organizations using API models that cannot be fine-tuned. EvoLib converts completed reasoning and action traces into reusable skills and reflective lessons, moving beyond simple transcript archives. This tag is relevant for those interested in Microsoft's AI research, enterprise IT applications of large language models, and advancements in model learning techniques that do not require parameter updates.