Few-Shot
NLP/dictionary/few-shot
Definition
Showing the LLM a handful of input/output examples in the prompt before the real query, so it picks up the pattern. Cheap and effective; usually the next thing to try after a plain prompt.
Posts that use this term
- Troubleshooting local LLMs (and how to keep up after this series)
The full catalog of local-LLM failures: OOM, slow tok/s, garbage output, instruction drift, bad RAG hits, tool-call hallucination. Plus where to follow the field once you're on your own.
- LLM API bills, and why a token costs what it costs
How input and output tokens get priced, why output runs 5-6x more, and how prompt caching cuts the input bill by 10x. Plus the hidden costs that ambush people.
- Prompt, RAG, fine-tune: three ways to shape a model
Three levers for shaping what an LLM does: prompting (ask better), RAG (give it the right context), fine-tuning (change the weights). What each costs, what each fixes, and how to pick.