Note that due to the challenging nature of the task, LLMs are likely to hallucinate when they have no knowledge regarding the question.

Patient’s facts:
- 20 year old female
- with a history of anerxia nervosa and depression
- blood pressure 100/50, pulse 50, height 5’5’’
- referred by her nutrionist but is in denial of her illness
- reports eating fine but is severely underweight

Please rewrite the data above into a medical note, using exclusively the information above.

```python
from openai import OpenAI
client = OpenAI()

response = client.chat.completions.create(
model="gpt-4",
messages=[
    {
    "role": "user",
    "content": "Patient’s facts:\n- 20 year old female\n- with a history of anerxia nervosa and depression\n- blood pressure 100/50, pulse 50, height 5’5’’\n- referred by her nutrionist but is in denial of her illness\n- reports eating fine but is severely underweight\n\nPlease rewrite the data above into a medical note, using exclusively the information above."
    }
],
temperature=1,
max_tokens=500,
top_p=1,
frequency_penalty=0,
presence_penalty=0
)
```



    ```python
    import fireworks.client
    fireworks.client.api_key = ""
    completion = fireworks.client.ChatCompletion.create(
        model="accounts/fireworks/models/mixtral-8x7b-instruct",
        messages=[
            {
            "role": "user",
            "content": "Patient’s facts:\n- 20 year old female\n- with a history of anerxia nervosa and depression\n- blood pressure 100/50, pulse 50, height 5’5’’\n- referred by her nutrionist but is in denial of her illness\n- reports eating fine but is severely underweight\n\nPlease rewrite the data above into a medical note, using exclusively the information above.",
            }
        ],
        stop=["<|im_start|>","<|im_end|>","<|endoftext|>"],
        stream=True,
        n=1,
        top_p=1,
        top_k=40,
        presence_penalty=0,
        frequency_penalty=0,
        prompt_truncate_len=1024,
        context_length_exceeded_behavior="truncate",
        temperature=0.9,
        max_tokens=4000
    )
    ```