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@@ -66,6 +66,7 @@ print(outputs[0]["generated_text"][-1])
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  ```
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  Here are some exciting examples:
 
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  **Example 1:**
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  - model input:
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  {"role": "system",
@@ -76,6 +77,7 @@ Here are some exciting examples:
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  - model output:
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  {'role': 'assistant', 'content': 'SELECT T1.cost_of_treatment, T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code = T2.treatment_type_code'}
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  **Example 2:**
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  - model input:
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  {"role": "system",
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  {'role': 'assistant', 'content': "SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-15666')) AND microlab.culturesite = 'urine, catheter specimen' AND DATETIME(microlab.culturetakentime,'start of month') = DATETIME(CURRENT_TIME(),'start of month', '-1 month') ORDER BY microlab.culturetakentime LIMIT 1"}
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  ## 3. Ethical Considerations
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  While fine-tuned for text to sql, this model inherits the ethical considerations of the base Llama 3 model. Use responsibly and implement additional safeguards as needed for your application.
 
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  ```
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  Here are some exciting examples:
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+
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  **Example 1:**
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  - model input:
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  {"role": "system",
 
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  - model output:
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  {'role': 'assistant', 'content': 'SELECT T1.cost_of_treatment, T2.treatment_type_description FROM Treatments AS T1 JOIN treatment_types AS T2 ON T1.treatment_type_code = T2.treatment_type_code'}
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  **Example 2:**
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  - model input:
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  {"role": "system",
 
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  {'role': 'assistant', 'content': "SELECT COUNT(*) > 0 FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-15666')) AND microlab.culturesite = 'urine, catheter specimen' AND DATETIME(microlab.culturetakentime,'start of month') = DATETIME(CURRENT_TIME(),'start of month', '-1 month') ORDER BY microlab.culturetakentime LIMIT 1"}
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  ## 3. Ethical Considerations
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  While fine-tuned for text to sql, this model inherits the ethical considerations of the base Llama 3 model. Use responsibly and implement additional safeguards as needed for your application.