Cross Entropy Loss in Language Model Evaluation

Cross entropy loss stands as one of the cornerstone metrics in evaluating language models, serving as both a training objective and an evaluation metric. In this comprehensive guide, we’ll explore what cross entropy loss is, how it works specifically in the context of large language models (LLMs), and why it matters so much for understanding […]