Foundational language models, such as large language models (LLMs), provide capabilities in various natural language processing (NLP) tasks by leveraging vast datasets during training.
How LLMs Learn from Context Without Traditional Memory | HackerNoon
The Transformer architecture greatly improves language model efficiency and contextual understanding through parallel processing and self-attention mechanisms.