This is What Limits Current LLMs
Автор: Edan Meyer
Загружено: 2024-05-04
Просмотров: 102496
Recent advances in large language models (LLMs) have centered around more data, larger models, and larger context lengths. The ability of LLMs to learn in-context (i.e. in-context learning) makes longer context lengths extremely valuable. However, there are some problems with relying on just in-context learning to learn during inference.
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