Google Cloud is set to add SandboxAQ’s “large quantitative models” to its cloud marketplace, according to multiple reports. The models are designed for science workflows that rely on quantitative information, such as scientific equations and laboratory or experimental data. The approach is positioned as a complement to Google’s existing Gemini large language models, pairing Gemini’s language capabilities with AI systems trained to work with numerical and scientific inputs. Unlike general large language models that are primarily optimized for generating and understanding text, large quantitative models are trained on numerical data to support tasks in fields including chemistry, biology, and physics. The reports describe the move as targeted to researchers and developers who need more reliable handling of quantitative relationships rather than word-focused responses. Together, the sources indicate that Google is expanding its AI offerings for scientific research on its cloud platform by bringing SandboxAQ’s specialized models into the marketplace and enabling combinations with Gemini.
Google Cloud to add SandboxAQ’s specialist AI models for science research
Google Cloud is set to add SandboxAQ’s “large quantitative models” to its cloud marketplace, according to multiple reports. The models are designed for science workflows that rely on quantitative info...
- Google Cloud plans to add SandboxAQ’s “large quantitative models” to its marketplace.
- The models are trained on scientific equations and laboratory or experimental data.
- Google says the models are intended to support quantitative science tasks such as those in chemistry, biology, and physics.
- The offering is described as pairing Gemini large language models with the quantitative models.
- Reports contrast large quantitative models with general large language models that are optimized for text.
Google will add SandboxAQ’s so-called large quantitative models to its cloud marketplace, allowing researchers to combine Google’s Gemini language models with AI systems trained on scientific equations and laboratory data. Unlike large language models, which excel at generating text, large quantitative models are trained on numerical data to help solve problems in chemistry, biology and physics
2 hours agoGoogle is adding SandboxAQ’s ‘large quantitative models’ to its cloud marketplace, pairing Gemini with AI trained on scientific equations and laboratory data. The large language models that power most of the AI industry are very good at words and surprisingly unreliable at numbers. Google’s latest move is an admission that, for science, a different kind […] This story continues at The Next Web
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