This AI Paper from Google DeepMind Introduces Enhanced Learning Capabilities with Many-Shot In-Context Learning

In-context learning (ICL) in large language models (LLMs) utilizes input-output examples to adapt to new tasks without altering the underlying model architecture. This method has transformed how models handle various tasks by learning from direct examples provided during inference. The problem at hand is the limitation of a few-shot ICL in handling intricate tasks. These […]

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