Salesforce Sustainable AI Blueprint: Quick Look | Build a Sustainable AI Strategy

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Salesforce Sustainable AI Blueprint: Quick Look : • Salesforce Sustainable...
While AI has the potential to be a powerful tool to help address climate change, the rise of generative AI also presents environmental risks. However, 58% of sustainability professionals believe the benefits of AI will outweigh its risks when solving the climate crisis.
The large language models (LLMs) that power generative AI require large compute resources to function, which can result in negative environmental impacts such as carbon emissions and water depletion.
As we’re experiencing record temperatures and the other effects of climate change across the globe, sustainable development has never been more important.
Every business developing and deploying AI needs a strategy to implement ethical and sustainable technology from the start. Let’s explore how to do this.
Strategies for Sustainable AI Development
Sustainability is a guiding principle for the development and deployment of AI here at Salesforce. In partnership with the Salesforce AI Research, Sustainability, and Office of Ethical and Humane Use teams, Salesforce developed a blueprint for sustainable AI focused on three main components: choosing right-sized models, utilizing efficient hardware, and prioritizing low-carbon data centers.
Check out our learnings and these three tips to help shape your sustainable AI strategy.
Choose right-sized models.
While there has been a rise in popularity of general-purpose LLMs, bigger models aren’t always better. Smaller models built for specific use cases require less data and compute power compared to general-purpose large language models.
In addition to having smaller environmental footprints, smaller models are more affordable to operate, easier to train, and often outperform large language models.
Salesforce uses domain-specific models-small language models trained on particular data sets designed for a specific purpose. For example, Salesforce unveiled an AI model that “punches well above its weight class” as described in the VentureBeat article, “Salesforce proves less is more: xLAM-1B ‘Tiny Giant’ beats bigger AI models.” The company’s new aforementioned AI model, Tiny Giant, outperforms models up to 7x its size.