In-context learning is a prompting technique used with LLMs, particularly GPT-3, to facilitate few-shot learning. The idea is to provide examples of the desired input-output pairs within the prompt, allowing the model to generalize from these examples and produce the correct output for a given...
In-context learning is a prompting technique used with LLMs, particularly GPT-3, to facilitate few-shot learning. The idea is to provide examples of the desired input-output pairs within the prompt, allowing the model to generalize from these examples and produce the correct output for a given...