Fine-tune
This endpoint is used to finetune an instance by passing
in the required information as parameters in the request.
Request Body
The request body should contain a list of JSON objects, with each object containing both context and correct_response attributes. The structure of the request body should be as follows:
Pass in your email, this will map the app you create to your account.
The instance_id you received after calling create_app
data
string
default:"[]"
required
The request body should contain a list of JSON objects, with each object containing both context
and correct_response attributes. The structure of the request body should be as follows: [
{
"context": "In what year did Neil Armstrong land on the moon?",
"correct_response": "1969"
},
{ "context": "Who is the author of the book 'To Kill a Mockingbird'?",
"correct_response": "Harper Lee"
},
{ "context": "What is the capital of France?",
"correct_response": "Paris"
}
]
Response
A string indicating the status of the request. This will be “success” if the
request was successful and the feedback was stored
Your api endpoint of the finetuned instance
import requests
import json
payload = [{
"context": "In what year did Neil Armstrong land on the moon?",
"correct_response": "1969"
}, {
"context": "Who is the author of the book 'To Kill a Mockingbird'?",
"correct_response": "Harper Lee"
}, {
"context": "What is the capital of France?",
"correct_response": "Paris"
}]
url = "https://api.berri.ai/finetune_instance"
args = {
"user_email": "krrish@berri.ai",
"instance_id": "7156c47f-2f70-4c81-a622-5dc21ef716d2"
}
headers = {'Content-Type': 'application/json'}
data = json.dumps(payload)
response = requests.post(url, params=args, headers=headers, data=data)
print(response.text)
