In-Context Learning

In-context learning allows language models to perform new tasks by understanding and following patterns presented in the prompt itself. Unlike traditional machine learning which requires model retraining, in-context learning enables real-time adaptation to new tasks through clever prompt design and example presentation. This capability emerges from the model's pre-training on diverse datasets and its ability to recognize and apply patterns.

Custom formatting tasks specialized text generation data transformation and dynamic response adaptation