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@@ -82,15 +82,17 @@ model = AutoModelForCausalLM.from_pretrained(
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  The prompt format is two-fold as both a system and user prompt are used for this model. This way, the model is given clear instructions on how to act to actually word the output (using the system prompt) and then, also guided on the length and purpose of the output (user prompt). The format for what was used to train the model and generate summaries for the test data for evaluation is shown below as an example.
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## Expected Output Format
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- Use the code below to get started with the model.
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- [More Information Needed]
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  ## Limitations
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  The prompt format is two-fold as both a system and user prompt are used for this model. This way, the model is given clear instructions on how to act to actually word the output (using the system prompt) and then, also guided on the length and purpose of the output (user prompt). The format for what was used to train the model and generate summaries for the test data for evaluation is shown below as an example.
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+ ```
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+ The system prompt was: Imagine you are a useful medical assistant that is trying to summarize doctor notes that were taken during patient visits into patient friendly summaries that are 3-5 sentences long.\nThe goal is just to summarize the given doctor's note and output a 3-5 sentence summary that captures key details of the note without too much medical jargon.
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+ The user prompt was: Now provide a 3–5 sentence summary for the doctor's note written for a patient's understanding.
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+ ```
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+ ## Expected Output Format
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+ The expected output format is 3-5 sentence summary
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  ## Limitations
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