Tag: Continual

Efficient continual pre-training LLMs for financial domains

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama

In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it.