Evidence item

The paper says LLMs can adapt to prompt examples at inference without additional or persistent changes to underlying model weights. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 10339

Source: Learning without training: The implicit dynamics of in-context learning · locator {} · excerpt hash sha256:5ba1c2d65c082da7ff551c2ff22fd976fc6b31482bec242346e4bdff5aadf504

Exact excerpt

At inference time an LLM is able to learn new patterns without any additional weight update when these patterns are presented in the form of examples in the prompt... in-context learning... adapt based on information provided in the input prompt, without any changes or modification to the model’s underlying weights. ... in the case of ICL, the model weights remain unchanged.

Linked claims

Claim	Direction	Relevance	Steps	Counted
05be5b21	SUPPORT	STRONG	1	yes

Audits

None.