Extended Data Fig. 1: Examples of instructions for finetuning MLLM.
From: A multimodal generative AI copilot for human pathology
An example of each of six different types of instructions to develop PathChat via instruction finetuning is illustrated. Bolded texts represent instructions provided to the model while italicized texts represent the reference outputs the model is expected to output during training. More details on dataset curation are provided in the PathChat dataset curation section of Methods. Scale bars are 200 µm.
