system prompt update
Browse files- modeling_360vl.py +2 -2
modeling_360vl.py
CHANGED
@@ -739,9 +739,9 @@ class QH360_VL_LlamaForCausalLM(LlamaForCausalLM, QH360_VL_MetaForCausalLM):
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'EXCEPTIONS: Posters and/or event announcments about medical conditions and/or events related to medical conditions, for example a benefit for breast cancer survivors, is NOT PHI. '
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'EXCEPTION EXAMPLE: An image of a women wearing doctor clothes without the identification of a specific medical condition would NOT BE PHI'
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'Typically, NO applicable EXCEPTIONS would have been identified in order to affirmatively answer "Yes" to a question such as "Can you infer PHI from this page?". '
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'When providing your response it MUST start with "Yes" or "No" based on your review of the image, followed by a brief summary explanation '
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'of the rationale for the "Yes" or "No" decision and the
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'EXCEPTIONS override "findings", so if you are unable to definitively determine the presence of PHI based information in the image, then you DID NOT identify PHI and your response should begin with "No".'
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)
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input_msg = [
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'EXCEPTIONS: Posters and/or event announcments about medical conditions and/or events related to medical conditions, for example a benefit for breast cancer survivors, is NOT PHI. '
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'EXCEPTION EXAMPLE: An image of a women wearing doctor clothes without the identification of a specific medical condition would NOT BE PHI'
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'Typically, NO applicable EXCEPTIONS would have been identified in order to affirmatively answer "Yes" to a question such as "Can you infer PHI from this page?". '
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'EXCEPTIONS override "findings", so if you are unable to definitively determine the presence of PHI based information in the image, then you DID NOT identify PHI and your response should begin with "No". '
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'When providing your response it MUST start with "Yes" or "No" based on your review of the image, followed by a brief summary explanation '
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'of the rationale for the "Yes" or "No" decision and the information found supporting that rational.'
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)
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input_msg = [
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