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Commercial generative AI platforms like OpenAI and Anthropic get all the attention, but open-source alternatives can offer cost benefits, security, and flexibility.
Copyright: cio.com – “Cost, security, and flexibility: the business case for open source gen AI”
Take for example the simple job of reading a receipt and accurately classifying the expenses. Since receipts can look very different, this can be tricky to do automatically. To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. Both types of gen AI have their benefits, says Ken Ringdahl, the company’s CTO. The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy.
With security, many commercial providers use their customers’ data to train their models, says Ringdahl. It’s possible to opt-out, but there are caveats. For instance, you might have to pay more to ensure the data isn’t being used for training, and might potentially be exposed to the public.
“That’s one of the catches of proprietary commercial models,” he says. “There’s a lot of fine print, and things aren’t always disclosed.”
Then there’s the geographical issue. Emburse is available in 120 different countries, and OpenAI isn’t. Plus, some regions have data residency and other restrictive requirements. “So we augment with open source,” he says. “It allows us to provide services in areas that aren’t covered, and check boxes on the security, privacy, and compliance side.”[…]
Read more: www.cio.com
Der Beitrag Cost, Security, and Flexibility: the Business Case for Open Source Gen AI erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.
