Remove Artificial Intelligence Remove Open Source Remove Vendor Management
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Cost, security, and flexibility: the business case for open source gen AI

CIO Business Intelligence

To solve the problem, the company turned to gen AI and decided to use both commercial and open source models. So we augment with open source, he says. Right now, the company is using the French-built Mistral open source model. Open source models also offer companies more flexibility in when to upgrade.

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The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

AI vendor management Only the biggest companies are going to build or manage their own AI models, and even those will rely on vendors to provide most of the AI they use. Open-source AI Open source has long been a driver of innovation in the AI space.

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Key considerations to cancer institute’s gen AI deployment

CIO Business Intelligence

While on-prem, open-source LLMs were considered, they’d require significant investment in infrastructure and might not offer the same level of versatility as commercial models like GPT-4,” he says. Vendor management Gen AI is more than just choosing between a free, insecure, public chatbot and a private, controlled one.

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12 AI predictions for 2025

CIO Business Intelligence

Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either. Weve also seen the emergence of agentic AI, multi-modal AI, reasoning AI, and open-source AI projects that rival those of the biggest commercial vendors.

CTO Hire 141
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What enterprise software vendors are doing with generative AI

CIO Business Intelligence

It can connect the data to a variety of LLMs, open source, or proprietary, the company said. Artificial Intelligence, CIO, Generative AI, IT Leadership, Vendor Management, Vendors and Providers The two companies are jointly developing LLMs and generative AI capabilities , they said.

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3 things CIOs can do to make gen AI synch with sustainability

CIO Business Intelligence

Even though large companies have been working with machine learning for quite some time now, their models aren’t as sophisticated as the larger open-source models, says Sundberg. “You need something that’s smaller and trained on more domain-specific data, which is more accurate at answering questions in your domain than using GPT-4.”

Energy 108
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Be honest: Are your company values and AI aligned?

CIO Business Intelligence

Even with open source models, not all of them make this information public. So far, there isn’t a good automated way to do this, or an open-source LLM designed specifically to test the alignment of other models, but there’s definitely a crucial need for it.

Company 130