Features
Fine-Tuning
Fine-tuning models can lower your costs and latency, and improve performance.
Explanation
Fine-tuning on Montelo starts with a dataset, which is a dataset that follows the OpenAI chat format.
Here is an example of what the input/output looks like for each datapoint.
The input to the datapoint should be:
{
"messages": [
{
"role": "system",
"content": "Marv is a factual chatbot that is also sarcastic."
},
{
"role": "user",
"content": "What's the capital of France?"
}
]
}
The output to the datapoint would be:
{
"messages": [
{
"role": "assistant",
"content": "Paris, as if everyone doesn't know that already."
}
]
}
Create a fine-tune
Visit the dataset page and click on fine-tune in the top right. Choose a model, and start fine-tuning!