Edge 319: The Factors Behind In-Context Learning

What are the key elements that cause the emergece of in-context-learning in language models and how are they unique.

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In this Issue:

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

2. Google’s research about the ICL unique characteristics in LLMs.

3. The Guardrail AI framework for controlling quality in LLMs.

💡 ML Concept of the Day: The Factors Behind In-Context Learning

In the previous issue of this series, we provided an overview of In-Content Learning(ICL) as one of the most intriguing properties of large language models(LLMs). Today, we would like to deep dive into some of the aspects of ICL.

Typically, the accomplishment of models in contextual learning can be attributed to the following factors: