VentureBeat September 12, 2024
Google is expanding its AI model family while addressing some of the biggest issues in the domain. Today, the company debuted DataGemma, a pair of open-source, instruction-tuned models that take a step toward mitigating the challenge of hallucinations – the tendency of large language models (LLMs) to provide inaccurate answers – on queries revolving around statistical data.
Available on Hugging Face for academic and research use, both new models build on the existing Gemma family of open models and use extensive real-world data from the Google-created Data Commons platform to ground their answers. The public platform provides an open knowledge graph with over 240 billion data points sourced from trusted organizations across economic, scientific, health and other sectors.
The models...
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