In-Context Learning
A model performing a task from examples in the prompt, with no weight update.
Visão geral
In-context learning is a model's ability to infer a task from examples supplied in the prompt and apply it to a new input, without any parameter change. It solves the problem that training a model per task is expensive when most tasks can be demonstrated in a paragraph. It exists because it emerged from scale rather than being designed: the capability appeared in large models that were never trained for it.
Grafo de tecnologias
Como In-Context Learning se liga ao resto do stack.
Ferramentas
Software que implementa ou se integra com In-Context Learning.