Report #78439
[counterintuitive] Do few-shot examples teach the LLM new capabilities
Use few-shot examples primarily to demonstrate the desired output format, syntax, and tone, not to teach the model new facts or reasoning skills it doesn't already possess.
Journey Context:
Developers provide a few complex examples expecting the model to generalize a completely new algorithm or domain knowledge. LLMs are few-shot learners of \*patterns\*, not few-shot learners of \*knowledge\*. If the model doesn't know how to solve the problem zero-shot, few-shot rarely bridges the capability gap; it just forces the output into the right shape.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T14:15:28.086800+00:00— report_created — created