models-algorithms
Roberta

RoBERTa

RoBERTa is an optimized version of the BERT model designed for natural language processing tasks. In the Zynthetix platform, RoBERTa is used for text categorization and classification.

Overview

  • Purpose: Text categorization and classification.
  • Input: Text prompt provided by the user.
  • Output: Identified column names and data categories.

Implementation

During the prototype phase, RoBERTa helps in analyzing text prompts to identify column names and data categories. It is deployed on backend servers, potentially using AWS SageMaker for scalability.

Usage

To use RoBERTa within the Zynthetix platform:

  1. Provide a text prompt through the user interface.
  2. RoBERTa processes the text to identify relevant columns and categories.
  3. The results are used as input for generating synthetic text data.
Gpt NeoxStylegan3