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The Importance of Instruction Tuning for Language Models in Medicine
The article emphasizes the need for instruction tuning in language models used in medicine. It explains that existing models like GPT 3.5 and GPT 4 initially generate responses based on probability and may not align with desired output. Humans then need to adapt or tune the models by providing feedback or reinforcement learning. However, none of these models have been specifically tuned for medicine. The article calls for the medical community to take action and create instruction tuning data to ensure that language models produce the expected outputs in medical contexts.