Explains how large language models (LLMs) can analyze new or real-time information despite having a training data cutoff, using methods like in-context learning and retrieval-augmented generation.

Explains how large language models (LLMs) can analyze new or real-time information despite having a training data cutoff, using methods like in-context learning and retrieval-augmented generation.