LoRA: Low-Rank Adaptation of Large Language Models. LoRA reduces the number of trainable parameters by learning pairs of rank-decompostion matrices while freezing the original weights.
Evals is a framework for evaluating LLMs (large language models) or systems built using LLMs as components. It also includes an open-source registry of challenging evals.