Generate and log data
Use Humanloop to retrieve and log generations across multiple LLM providers
A datapoint is a generation from the AI model. It contains the inputs and the output as well as metadata such as which model configuration was used and any associated feedback.
There are two types of datapoint on Humanloop - a completion and a chat, generated by the /completion and the /chat API endpoint variants respectively.
The guides in this section instruct how to create datapoints for your projects on Humanloop. Once this is setup, you can begin to use Humanloop to evaluate and improve your LLM apps.
An example datapoint. The prompt template was "Write a short post about {{topic}} using as much markdown syntax as possible", and the topic is "lisp".
Updated 4 months ago