Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
The study delves into the in-context learning capabilities of Transformers and Large Language Models (LLMs). The paper demonstrates that Transformers are capable of implementing gradient-based learning algorithms for various real-valued…
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