Domain: Large Language Models

Updating a pretrained model’s weights on task-specific data to improve performance or adapt style/behavior.

A model that assigns probabilities to sequences of tokens; often trained by next-token prediction.

A high-capacity language model trained on massive corpora, exhibiting broad generalization and emergent behaviors.

A datastore optimized for similarity search over embeddings, enabling semantic retrieval at scale.