Glossary
In-Context Learning
In-context learning is a model's ability to pick up a pattern from examples inside the prompt.
Plain-English meaning
In this game, In-Context Learning is used as a vocabulary card for recognizing how market and technology concepts fit together. The short idea is: learning from prompt examples.
The term is not shown as a recommendation. It is included so players can learn the language they may see in exchange interfaces, wallet prompts, research notes, AI product pages, or on-chain analytics dashboards.
Why it belongs with Prompting and Evaluation
These words cover prompt design, example selection, and how model answers get reviewed.
When solving the puzzle, compare the job this term performs with nearby cards. A correct group usually shares a function, risk type, workflow, or market structure rather than simply sharing similar wording.
Where you might see it
You might encounter this term while reading educational explainers, product documentation, risk disclosures, market dashboards, or beginner guides. Always separate vocabulary learning from financial decision-making.