method
active
method:in-context-k-shot-promptingin-context k-shot prompting
Use k examples as anchors with no parameter update.
Neighborhood — ranked by edge-count
Concepts (1)
concept
- few-shot threshold (k50/θ50)associated_withShot count needed to reach 50% accuracy; reflects when anchoring strength crosses critical value.
Methods (2)
method
- k-shot promptingrelated_tosame_asPrompting technique where k example pairs are provided as anchors.
- Quantitative study varying representational familiarity via numeral bases B10/B8/B9 at fixed computational complexity
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Providing k labeled examples in the prompt to steer model behavior.
- Baseline method: sweeps over shot count and resamples prompts; calibrates threshold for P(TRUE)-P(FALSE); performed surprisingly weakly
- Technique by which LLMs generate intermediate reasoning steps before final output; used by ChatGPT o3.
- Method of eliciting specific personas from an LLM through prompt design.
- Finite number of previous tokens used by autoregressive models to predict the next token; defines interaction range
- Established baseline for OCEAN steering via personality-descriptive system prompts; compared against injection methods throughout
- Feature that activates across all tokens within a specific context (e.g., DNA sequences, base64 strings)
- Proposed constitutional article defining mindful reflection steps in CCAI implementation