Flow is a spinout of VTT, a Finland state-backed research organization that’s a bit like a national lab.
You can’t just magically squeeze extra performance out of CPUs across architectures and code bases.
But Flow has been working on something that has been theoretically possible — it’s just that no one has been able to pull it off.
What Flow claims to have done is remove this limitation, turning the CPU from a one-lane street into a multi-lane highway.
The chef still only has two hands, but now the chef can work ten times as fast.
But this year, whether to foster developer goodwill or advance its ecosystem ambitions (or both), Google debuted a number of open-source tools primarily aimed at supporting generative AI projects and infrastructure.
Beyond MaxDiffusion, Google’s launching Jetstream, a new engine to run generative AI models — specifically text-generating models (so not Stable Diffusion).
“We’ve heavily optimized [the models’] performance on TPUs and also partnered closely with Nvidia to optimize performance on large GPU clusters,” Lohmeyer said.
The goal is to reduce the barrier to entry for getting generative AI models onto TPU hardware, according to Google — in particular text-generating models.
And Optimum TPU doesn’t yet support training generative models on TPUs — only running them.
Phrasing requests in a certain way — meanly or nicely — can yield better results with chatbots like ChatGPT than prompting in a more neutral tone.
So what’s the deal with emotive prompts?
Nouha Dziri, a research scientist at the Allen Institute for AI, theorizes that emotive prompts essentially “manipulate” a model’s underlying probability mechanisms.
Why is it so trivial to defeat safeguards with emotive prompts?
Another reason could be a mismatch between a model’s general training data and its “safety” training datasets, Dziri says — i.e.
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Employee performance reviews take time and effort — and aren’t always conducted very efficiently.
Seeking to make the performance review process easier — or at least less of a headache than it has been historically — Ben Hastings and Jon Malpass founded PerformYard, a platform that provides a collection of software-based retention, staff management and upskilling tools.
“PerformYard has been cash-flow positive with attractive unit economics for the majority of our existence as a business.”Prior to launching PerformYard, Hastings spent the majority of his career in tech as a go-to-market sales leader.
“In early 2013, I decided to go all-in on building a software-as-a-service platform for employee performance management and personally funded the initial team.
“Our mission is to simply enable and facilitate any performance process that our customers are looking to automate and improve,” Hastings said.
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