What is an in-context learning?
Synonym for few-shot prompting.
in-context learning explained in plain English
Synonym for few-shot prompting.
Example
Practitioners refer to in-context learning when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
People also read
- average precision at k
A metric for summarizing a model's performance on a single prompt that generates ranked results, such as a numbered list of book recommendations.
- black box model
A model whose "reasoning" is impossible or difficult for humans to understand.
- Chain-of-Thought Prompting
Asking an AI to show its reasoning step by step before giving a final answer, which often improves accuracy on complex tasks.
- conversational coding
An iterative dialog between you and a generative AI model for the purpose of creating software.
- deterministic
A system that always returns the same output for a given input.
- direct prompting
Synonym for zero-shot prompting.
- distillation
The process of reducing the size of one model (known as the teacher) into a smaller model (known as the student) that emulates the original model's predictions as faithfully as possible.
- emergent behavior
An LLM's ability to generate responses for prompts that it was not explicitly trained on.
- factuality
Within the ML world, a property describing a model whose output is based on reality.
- few-shot learning
A machine learning approach, often used for object classification, designed to train effective classification models from only a small number of training examples.