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Required Feature Group Types

To train a model under this use case, you will need to create feature groups of the following type(s):

Feature Group Type	API Configuration Name	Required	Description
List of documents	DOCUMENTS	True	This dataset corresponds to the list of documents that you want to use to fine tune your LLM.
Evaluation	EVALUATION	False	The Evaluation dataset is used to evaluate the model's performance. It contains a list of questions and their expected answers.

Note: Once you upload the datasets under each Feature Group Type that comply with their respective required schemas, you will need to create Machine learning (ML) features that would be used to train your ML model(s). We use the term, "Feature Group" for a group of ML features (dataset columns) under a specific Feature Group Type. Our system support extensible schemas that enables you to provide any number of additional columns/features that you think are relevant to that Feature Group Type.

Feature Group: List of documents

This dataset corresponds to the list of documents that you want to use to fine tune your LLM.

Feature Mapping	Required	Description
DOCUMENT	Y	The document text
DOCUMENT_ID	Y	The unique document identifier
DOCUMENT_SOURCE	N	The source URL of the document

Feature Group: Evaluation

The Evaluation dataset is used to evaluate the model's performance. It contains a list of questions and their expected answers.

Feature Mapping	Feature Type	Required	Description
QUESTION		Y	Question used to evaluate the model
ANSWER		N	The question's expected answer