DataGemma RIG
Text models for retrieving and generating combined statistical data
Product Details
DataGemma RIG is a family of fine-tuned Gemma 2 models designed to help large language models (LLMs) access and integrate reliable public statistics from Data Commons. The model uses a search query generation method to annotate the statistical data in the response through the existing natural language interface of natural language query Data Commons. The DataGemma RIG uses JAX for training on TPUv5e and is currently an early version intended primarily for academic and research purposes and is not yet ready for commercial or public use.
Main Features
How to Use
Target Users
The DataGemma RIG model is suitable for researchers and developers who need to integrate statistical data in text generation. It is especially suitable for academic research and data analysis projects that require accurate and reliable data support.
Examples
Researchers use the DataGemma RIG model to generate research reports containing up-to-date statistics.
Data analysts use models to automatically integrate demographic data in economic analyses.
Academic institutions use models to obtain and cite relevant statistical information when writing papers about social trends.
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