Speak Only About What You Have Read: Can LLMs Generalize Beyond Their Pretraining Data?
Last Updated on November 11, 2023 by Editorial Team
Author(s): Salvatore Raieli
Originally published on Towards AI.
Unveiling the Limits and Wonders of In-Context Learning in Large Language Models
Photo by Hans-Peter Gauster on Unsplash
In-context learning is one of the secret weapons that has made Large Language Models so successful, but even today, many points remain unclear. What are the limits of this incredible capability? Where does it come from? Is it the secret ingredient to allows LLMs to bring us closer to artificial general intelligence?
Photo by Thao LEE on Unsplash
One of the most amazing capabilities of Large language models (LLMs) is in-context learning (ICL). By simply providing a few examples to a model, it is able to generate a response, mapping input to output. For example, by providing… Read the full blog for free on Medium.
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