Prompt Engineering
Prompt engineering is the practice of writing and refining instructions to guide a model's output.
Category
Prompting and Evaluation
These words cover prompt design, example selection, and how model answers get reviewed.
How to recognize this theme
Terms for shaping outputs and judging them.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Few-Shot
Few-shot prompting supplies a small number of examples so the model can imitate the pattern.
In-Context Learning
In-context learning is a model's ability to pick up a pattern from examples inside the prompt.
Reward Model
A reward model scores outputs so a system can prefer responses that better match a goal or rubric.