Hugging Face is a wildly popular community-based repository for open-source NLP technology. “While slightly less 'miraculous', these models form the backbone of some of the most sophisticated NLP systems in the world."Īnother leading horizontal NLP startup is Hugging Face. "Language generation has seemingly monopolized the attention of those interested in NLP, but the most significant opportunity for developers interested in building NLP into their systems actually rests in language representation models like BERT,” said Gomez. These classification models have myriad commercial use cases: from customer support to content moderation, from market analysis to search. While Cohere does produce generative models along the lines of GPT-3, the company is increasingly focused on models that analyze existing text rather than generate novel text.
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The company recently announced a large Series B fundraise from Tiger Global less than a year after emerging from stealth. Cohere’s founding team is highly pedigreed: CEO Aidan Gomez is one of the co-inventors of the transformer CTO Nick Frosst is a Geoff Hinton protégé. Given Microsoft’s massive investments in and deep alliance with the organization, OpenAI can almost be considered an arm of the tech giant.īut there is also tremendous opportunity in this category for younger startups.Ĭohere is a fast-growing startup based in Toronto that, like OpenAI, develops cutting-edge NLP technology and makes it commercially available via API for use across industries. OpenAI has made GPT-3 commercially available via API for use across applications, charging on a per-word basis. GPT-3 is a generative model (the G in its name stands for generative): it generates original text in response to prompts from human users. Its large language model GPT-3 is perhaps the most well-known and widely used foundation model today.
OpenAI is another important source of state-of-the-art NLP technology.
Most often, foundation models are built and open-sourced by the publicly traded technology giants-e.g., BERT from Google, RoBERTa from Facebook. Stanford researchers recently dubbed these pretrained models “foundation models” in recognition of their outsize influence. Instead, virtually all advanced NLP in use today, no matter the industry or setting, is based on one of a small handful of massive pretrained language models. As a result, very few companies or researchers actually build their own NLP models from scratch. You only pay for courses your employees take.Īccessible on any device, anywhere, anytime, Wave helps your employees build the skills they need wherever and whenever it works for them.The first category of language AI startups worth discussing is those players that develop and make available core general-purpose NLP technology for other organizations to apply across industries and use cases.īuilding a state-of-the-art NLP model today is incredibly resource-intensive and technically challenging.
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