Sustain360°™ and NeuralFabric have launched the world's first sustainability-focused micromodel that uses generative AI to reduce Scope 3 carbon emissions.
Sustain360°™ is the leader in automating Scope 3 carbon emissions. Generative AIis excited to announce its partnership with NeuralFabric to develop a groundbreaking micromodel with a focus on sustainability.
Read also: Security Compass Expands Industry-Leading AI Security Content and Introduces AI-Powered Navigator Beta
The Sustain360°™ micro-model is the world's first micro-model that enables companies to run generative AI models at a significantly lower cost due to smaller data sets and minimal use of computing resources.
The Sustain360°™ micro-model is the world's first micro-model that enables companies to run generative AI models at a significantly lower cost due to smaller data sets and minimal use of computing resources.
“Our technology partnership with NeuralFabric will enable us to create sustainability-focused micro-models that will enable businesses to affordably address Scope 3 carbon emissions and contribute to the overall benefit of the planet, in contrast to the current approach of large-scale language models that can cost over $1 million. $100 million We will develop it,” he said. Baz KuttyCEO and Founder of Sustain360°™.
Drew Goode“We are grateful for our partnership with Sustain360°™ and for co-creating their pioneering generative AI model, demonstrating how combining domain-specific micro-models trained from scratch with business outcomes can further our mission to net zero,” said NeuralFabric's CRO and co-founder.
The Sustain360°™ micromodel processed over 67.5 billion tokens from multiple domains, including physics, engineering, and environment, to create a 1.5 billion parameter model, fine-tuned to specific environmentally focused scenarios.
Read also: AMD Acquires Silo AI, Expanding Enterprise AI Solutions Globally
Key advantages of micromodels compared to typical large-scale language models:
- From general to specific: Leverage smaller domain-specific datasets and sophisticated algorithms to understand environmental data and regulations with precision.
- Data sovereignty: Allowing businesses to maintain control over their data to ensure security, privacy and compliance.
- Infrastructure costs: Reduce cloud computing costs by using fewer computing resources.
- Scalability and accessibility: Compact micro-models can be easily deployed on a variety of infrastructure platforms.
“This is another groundbreaking development from the Sustain360°™ and NeuralFabric teams who continue to lead the way in innovative climate technology and generative AI solutions,” said Dr. Sommer, Chairman of BFG International, a Sustain360°™ client.
Read also: Survey finds only 20% of senior IT leaders are using generative AI in production
[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]
