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Is AI in the enterprise ready for primetime? Not yet.

CIO Business Intelligence

At work, we’re efficient at processing multiple inputs in rapid time to take into account issues of safety, social norms, the needs of our colleagues and employer, as well as accuracy and strategic goals. Artificial Intelligence, CIO, Emerging Technology, Enterprise Applications, Generative AI

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Mistral Medium leak confirmed: Miqu 70b explained

Dataconomy

Such is the case with the recent buzz surrounding the AI community following the unexpected appearance of a new language model dubbed “Miqu 70b” on HuggingFace, a leading platform for open-source AI technologies. The intrigue around “Miqu 70b” largely stems from its performance.

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GeekWire Podcast: NY Times vs. Microsoft; Plus, Oren Etzioni on AI in 2023 and beyond

GeekWire

” The need for strong open-source models: “The consolidation of power in AI is a huge risk. The countervailing forces are, number one, open source models. But we also had Linux, which the open-source movement championed. I think it’s going to be easily 10 times a day on average.”

Microsoft 103
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How to use ChatGPT voice control for free

Dataconomy

Considering all the recent buzz within OpenAI’s management, it sounds like a miracle to be able to push a game-changing feature for ChatGPT, and you know who is there to lead the announcement on social media: Greg Brockman. Even his feature at OpenAI was not clear but Greg still stepped up to talk about ChatGPT’s newest feature.

How To 41
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Toolify review: The popular AI tools directory

Dataconomy

INK – Natural language AI that writes long-form content with an authentic human feel targeted to genres like fiction, nonfiction, poetry, scripts, and academic writing. Stable Diffusion – Open-source text-to-image model capable of diverse high-resolution image generation possibilities.

Tools 45
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The Hacker Mind Podcast: Hunting The Next Heartbleed

ForAllSecure

I mean, it was open source, right? And this is open source software, meaning that there’s some developers or some project behind it that has already built out the basics of what you need to put it into your code and start using it. What I want to know is how that vulnerability was able to persist for so long.

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The Hacker Mind Podcast: Hunting The Next Heartbleed

ForAllSecure

I mean, it was open source, right? And this is open source software, meaning that there’s some developers or some project behind it that has already built out the basics of what you need to put it into your code and start using it. What I want to know is how that vulnerability was able to persist for so long.