![]() "W e really want to fashion Cohere For AI as an ambitious research lab that is contributing to the research community, but is also prioritizing how to better involve a diverse set of voices. Part of this will be through promoting stewardship of open source scientific practices and the "responsible" release of code, as well as supporting efforts that encourage "scientific communication" through different mediums, like blog posts. Now, the Cohere team and its supporters are excited to reintroduce the original concept but with more resources built out from Cohere."Īccording to Hooker, Cohere For AI will offer ways for data scientists to "meet and collaborate" through mentorship research opportunities, engagement with traditional conferences and contributions to research journals. At the time, For.ai was one of the first community-driven research groups to support independent researchers around the world. "Many of the founding members went on to pursue Ph.Ds., or work at academic or industry labs. "For.ai was designed to help early-career enthusiasts better engage with more experienced researchers," Hooker said. (Among other high-profile systems, OpenAI’s GPT-3 and Codex are based on the Transformer architecture.) Zhang, alongside Gomez, was a contributor at For.ai, an open AI research collective involving data scientists and engineers. Gomez co-authored the academic paper "Attention Is All You Need," which introduced the world to a fundamental AI model architecture called the Transformer. Road to nonprofitīacked by AI luminaries including UC Berkeley AI lab co-director Pieter Abbeel, Cohere was founded in 2019 by a pedigreed team that includes Aidan Gomez, Ivan Zhang and Nick Frosst. But now, thanks to academic breakthroughs and the work of the open source community, the barriers to entry are far lower than they used to be. Only a few years ago, creating a highly sophisticated language model required massive compute resources. AI systems that understand and generate text). ![]() Regardless of domain, work within companies is often closely guarded, taking years to see the light of day - if it ever does.Īnother core component Cohere For AI is hoping to build out is access to compute resources, Hooker said - specifically helping researchers better utilize "cutting-edge" models to help develop their work." The role of compute access is changing, as illustrated by the trends in language models (i.e. A number of experts, speaking to Wired for a 2020 piece, point out that corporate AI projects have led to an “unscientific fixation” on projects only possible for people with access to powerful data centers. Another study showed that Google parent company Alphabet, as well as Amazon and Microsoft, hired a whopping 52 tenure-track AI professors between 20, removing these would-be teachers from academic and nonprofit work.Ĭoncentrating power within corporations has a number of obvious downsides, but one of the most alarming is that it tends to underemphasize values such as beneficence, justice and inclusion on the research side. One study found that ties to corporations - either funding or affiliation - in AI research significantly grew from 2008 to 2019. There's long been a concern within the AI community that not enough funding is being set aside for AI research outside of wealthy corporations. "At the same time, a key component of our work will be to expand the community and help train the next generation of talent, creating new entry points to work on core research. There’s so much to be uncovered, and our focus will be on collaborating openly and contributing fundamental research," Hooker told TechCrunch via email. " We’re really excited to be leading a new nonprofit AI research lab as we continue to broaden how and where research is done. Headed by Google alum Sara Hooker, Cohere says that Cohere For AI will work to solve some of the industry's toughest challenges by contributing "fundamental research" to the open source community. Cohere, a startup creating large language models to rival those from OpenAI, today announced the launch of a nonprofit research lab: Cohere For AI.
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