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AI Sweden Preps Region’s First Language Model


If the King of Sweden needs assist drafting his annual Christmas speech this 12 months, he may ask the identical AI mannequin that’s out there to his 10 million topics.

As a check, researchers prompted the mannequin, known as GPT-SW3, to draft one of many royal messages, and it did a reasonably good job, in line with Magnus Sahlgren, who heads analysis in pure language understanding at AI Sweden, a consortium kickstarting the nation’s journey into the machine studying period.

“Later, our minister of digitalization visited us and requested the mannequin to generate arguments for political positions and it got here up with some actually intelligent ones — and he intuitively understood the best way to immediate the mannequin to generate good textual content,” Sahlgren stated.

Early successes impressed work on a fair bigger and extra highly effective model of the language mannequin they hope will serve any citizen, firm or authorities company in Scandinavia.

A Multilingual Mannequin

The present model packs 3.6 billion parameters and is sensible sufficient to do a number of cool issues in Swedish. Sahlgren’s staff goals to coach a state-of-the-art mannequin with a whopping 175 billion parameters that may deal with all kinds of language duties within the Nordic languages of Swedish, Danish, Norwegian and, it hopes, Icelandic, too.

For instance, a startup can use it to routinely generate product descriptions for an e-commerce web site given solely the merchandise’ names. Authorities companies can use it to shortly classify and route questions from residents.

Corporations can ask it to quickly summarize stories to allow them to react quick. Hospitals can run distilled variations of the mannequin privately on their very own techniques to enhance affected person care.

“It’s a foundational mannequin we are going to present as a service for no matter duties folks wish to clear up,” stated Sahlgren, who’s been working on the intersection of language and machine studying since he earned his Ph.D. in computational linguistics in 2006.

Permission to Communicate Freely

It’s a functionality more and more seen as a strategic asset, a keystone of digital sovereignty in a world that speaks 1000’s of languages throughout practically 200 international locations.

Most language providers at this time concentrate on Chinese language or English, the world’s two most-spoken tongues. They’re usually created in China or the U.S., and so they aren’t free.

“It’s vital for us to have fashions inbuilt Sweden for Sweden,” Sahlgren stated.

Small Staff, Tremendous System

“We’re a small nation and a core staff of about six folks, but we are able to construct a state-of-the-art useful resource like this for folks to make use of,” he added.

That’s as a result of Sweden has a strong engine in BerzeLiUs, a 300-petaflops AI supercomputer at Linköping College. It educated the preliminary GPT-SW3 mannequin utilizing simply 16 of the 60 nodes within the NVIDIA DGX SuperPOD.

The following mannequin might train all of the system’s nodes. Such super-sized jobs require tremendous software program just like the NVIDIA NeMo Megatron framework.

“It lets us scale our coaching as much as the complete supercomputer, and we’ve been fortunate sufficient to have entry to consultants within the NeMo improvement staff — with out NVIDIA it could have been a lot extra sophisticated to come back this far,” he stated.

A Workflow for Any Language

NVIDIA’s engineers created a recipe primarily based on NeMo and an rising course of known as p-tuning that optimizes huge fashions quick, and it’s geared to work with any language.

In a single early check, a mannequin practically doubled its accuracy after NVIDIA engineers utilized the strategies.

Magnus Sahlgren, AI Sweden
Magnus Sahlgren

What’s extra, it requires one-tenth the info, slashing the necessity for tens of 1000’s of hand-labeled data. That opens the door for customers to fine-tune a mannequin with the comparatively small, industry-specific datasets they’ve at hand.

“We hope to encourage loads of entrepreneurship in {industry}, startups and the general public utilizing our know-how to develop their very own apps and providers,” stated Sahlgren.

Writing the Subsequent Chapter

In the meantime, NVIDIA’s builders are already engaged on methods to make the enabling software program higher.

One check reveals nice promise for coaching new capabilities utilizing extensively out there English datasets into fashions designed for any language. In one other effort, they’re utilizing the p-tuning strategies in inference jobs so fashions can study on the fly.

Zenodia Charpy, a senior options architect at NVIDIA primarily based in Gothenburg, shares the keenness of the AI Sweden staff she helps. “We’ve solely simply begun making an attempt new and higher strategies to deal with these giant language challenges — there’s way more to come back,” she stated.

The GPT-SW3 mannequin will likely be made out there by the top of 12 months by way of an early entry program. To use, contact francisca.hoyer@ai.se.



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