4 methods start-ups will drive GPT-3 adoption in 2021 888011000 110888 Oren Etzioni Contributor Share on Twitter Teacher Emeritus at the University of Washington, Oren Etzioni is a business owner and CEO of the non-profit Allen Institute for AI. Matt McIlwain Factor Share on Twitter Matt McIlwain is an early-stage venture investor at Madrona Venture Group who has actually been investing in AI innovations for nearly a decade. More posts by this factor 4 ways startups will drive GPT-3 adoption in 2021 The intro of GPT-3 in 2020 was a tipping point for expert system. In 2021, this technology will power the launch of a thousand brand-new start-ups and applications. GPT-3 and similar models have brought the power of AI into the hands of those wanting to experiment — — and the outcomes have been extraordinary. Trained on trillions of words, GPT-3 is a 175-billion parameter transformer design– the 3rd of such designs released by OpenAI. GPT-3 is remarkable in its capability to generate human-like text and responses — — in some respects, it’s spooky. When triggered by a user with text, GPT-3 can return topical and coherent emails, tweets, trivia and much more.

In 2021, this technology will power the launch of a thousand brand-new start-ups and applications.

Unexpectedly, authoring emails, consumer interactions, social media exchanges and even news stories can be automated — — at least in part. While large business are pondering the risks and threats of creating text (keep in mind Microsoft’s devastating Tay bot?), start-ups have already started sweeping in with novel applications — — and they will continue to lead the charge in transformer-based development. OpenAI scientists initially released the paper introducing GPT-3 in May 2020, and what started as some clever usage cases on Twitter has rapidly become a hotbed of startup activity. Companies have been formed on top of GPT-3, utilizing the model to create emails and marketing copy, to create an interactive nutrition tracker or chatbot, and more. Let OthersideAI take a first pass at writing your emails, or try Broca or Snazzy for your ad copy and project content, for instance. Other young companies are harnessing the API to accelerate their existing efforts, augmenting their technical groups’ abilities with the power of 175 billion specifications and quickly bringing otherwise challenging items to market with much higher speed and information than previously possible. With some creative timely engineering (a mix of a direction to the model with a sample output to help assist the design), these business take advantage of the underlying GPT-3 system to enhance or extend an existing application’s abilities. Sure, a text expander can be an useful tool for shorthand notation — — but powered by GPT-3, that shorthand can be changed into a product that generates contextually conscious e-mails in your own design of composing. As early-stage innovation financiers, we are inspired to see AI broadly, and natural language processing specifically, become more available through the next generation of large-scale transformer models like GPT-3. We expect they will open new use cases and capabilities we have yet to even contemplate.

by RJ Shara | Mar 9, 2021 | Startups

What OpenAI– and most importantly, the beta testers with access to GPT-3 and other designs– are able to accomplish continues to amaze and in many cases, suddenly thrill us….