Fig. 3: The pipeline of our method.
From: Towards evaluating and building versatile large language models for medicine
a The data collection pipeline. We mainly collect data by filtering natural instructions and prompting well-organized BioNLP datasets. b The training and evaluation pipeline for our model leveraging the collected MedS-Ins. We leverage the instruction tuning training method to combine different datasets and evaluate the final model on multiple benchmarks comprehensively. The icons in the figure are from Microsoft free icon basis.
