Build and version a synthetic dataset to train a model on
faker
library to generate a starting dataset. We can then run this dataset through an LLM to generate prompts and responses as if they were both the customer and the support agent. Faker
has a lot of built in functionality, such as the ability to generate fake names, addresses, phone numbers, and more.
DynamicProvider
interface to create our own.
upload
method to upload a file to your repository with a commit message.
Next ->
button. This will allow you to pick an output branch, file, and write a commit message once the run is complete.