Companies with huge datasets can save up to 80% in AI costs by using open-weight models: Hims CEO
Hims & Hers CEO Andrew Dudum touted the use of open-weight models to achieve cost savings in AI.He said companies that generate large amounts of internal data can save up to 80% using open-weight models.This is one of the hottest topics in the tech sphere as enterprises strategize to improve returns.One executive is touting open-weight models, especially if your company produces lots of data.In an interview with CNBC Squawkbox, released on Tuesday, Hims & Hers CEO Andrew Dudum said companies that already have large datasets should shift away from using big AI models and toward using open-weight models.He cited his company, a telehealth provider that delivers prescription drugs and personal care products through a subscription-based service. He said the company has a large closed-loop dataset of patients it has worked with, which he called a "real asset" because it can be used to train AI models."I think for companies that have the resources and scale, if they have an independent dataset, that is a path that they will go, no question," he said to CNBC host Andrew Ross Sorkin.
Reported by 1 outlet — Business Insider. See all sources ↓
Hims & Hers CEO Andrew Dudum touted the use of open-weight models to achieve cost savings in AI.He said companies that generate large amounts of internal data can save up to 80% using open-weight models.This is one of the hottest topics in the tech sphere as enterprises strategize to improve returns.One executive is touting open-weight models, especially if your company produces lots of data.In an interview with CNBC Squawkbox, released on Tuesday, Hims & Hers CEO Andrew Dudum said companies that already have large datasets should shift away from using big AI models and toward using open-weight models.He cited his company, a telehealth provider that delivers prescription drugs and personal care products through a subscription-based service. He said the company has a large closed-loop dataset of patients it has worked with, which he called a "real asset" because it can be used to train AI models."I think for companies that have the resources and scale, if they have an independent dataset, that is a path that they will go, no question," he said to CNBC host Andrew Ross Sorkin. "The cost can be upward of 70, 80% less."Open-weight models let users access and customize a model's trained parameters, and can be cheaper to run at scale. More importantly, Dudum said models trained on a company's actual use cases would perform better."And so what we launched, our first version, immediately outsurpassed what we could get in market," he said.
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- Hims & Hers CEO Andrew Dudum touted the use of open-weight models to achieve cost savings in AI.He said companies that generate large amounts of internal data can save up to 80% using open-weight models.This is one of the hottest topics in the tech sphere as enterprises strategize to improve returns.One executive is touting open-weight models, especially if your company produces lots of data.In an interview with CNBC Squawkbox, released on Tuesday, Hims & Hers CEO Andrew Dudum said companies that already have large datasets should shift away from using big AI models and toward using open-weight models.He cited his company, a telehealth provider that delivers prescription drugs and personal care products through a subscription-based service. He said the company has a large closed-loop dataset of patients it has worked with, which he called a "real asset" because it can be used to train AI models."I think for companies that have the resources and scale, if they have an independent dataset, that is a path that they will go, no question," he said to CNBC host Andrew Ross Sorkin.
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- 1 outlet, average source rating 6.0/10.
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- 17m ago.
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Companies with huge datasets can save up to 80% in AI costs by using open-weight models: Hims CEO
Sources1TypeCoverageBusiness Insider