Batch calibration: Rethinking calibration for in-context learning and prompt engineering
Favorite Posted by Han Zhou, Student Researcher, and Subhrajit Roy, Senior Research Scientist, Google Research Prompting large language models (LLMs) has become an efficient learning paradigm for adapting LLMs to a new task by conditioning on human-designed instructions. The remarkable in-context learning (ICL) ability of LLMs also leads to efficient
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Shared by Google AI Technology October 13, 2023