Edge 317: Understanding In-Context Learning

Deep diving into one of the most puzzling capabiltities of large language models.

In this Issue:

1. An overview of in-context-learning(ICL).

2. Stanford University’s research about the roots of ICL.

3. The GPTCache framework.

💡 ML Concept of the Day: Understanding In-Context Learning

In-Content Learning(ICL) is one of the most fascinating phenomenon that has emerged in the new generation of large language models(LLMs).

In the realm of technical applications, ICL emerges as a remarkable approach wherein a sophisticated language model achieves a given task with minimal exposure to examples, even if it wasn't specifically trained for that task. Consider an instance where the model is provided with a set of example sentences accompanied by their sentiments (positive or negative).