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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many That makes it impractical to train an LLM from scratch. Training GPT-3 was heralded as an engineering marvel.

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Should you build or buy generative AI?

CIO

Whether it’s text, images, video or, more likely, a combination of multiple models and services, taking advantage of generative AI is a ‘when, not if’ question for organizations. But many organizations are limiting use of public tools while they set policies to source and use generative AI models.

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Unlocking generative AI’s greatest growth opportunities

CIO

Over the last year, generative AI—a form of artificial intelligence that can compose original text, images, computer code, and other content—has gone from experimental curiosity to a tech revolution that could be one of the biggest business disruptors of our generation. Where will the biggest transformation occur first?

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AI as a service to solve your business problems? Guess again

TechCrunch

SaaS, PaaS – and now AIaaS: Entrepreneurial, forward-thinking companies will attempt to provide customers of all types with artificial intelligence-powered plug-and-play solutions for myriad business problems. Industries of all types are embracing off-the-shelf AI solutions.

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Intelligenza artificiale e gen AI: i quattro elementi per passare al “next level”

CIO

L’analisi dei dati attraverso l’apprendimento automatico (machine learning, deep learning, reti neurali) è la tecnologia maggiormente utilizzata dalle grandi imprese che utilizzano l’IA (51,9%). Le reti neurali sono il modello di machine learning più utilizzato oggi.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

Some prospective projects require custom development using large language models (LLMs), but others simply require flipping a switch to turn on new AI capabilities in enterprise software. “AI We don’t want to just go off to the next shiny object,” she says. “We We want to maintain discipline and go deep.”

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Predibase exits stealth with a low-code platform for building AI models

TechCrunch

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. “The major challenges we see today in the industry are that machine learning projects tend to have elongated time-to-value and very low access across an organization.