The chapter explores Cohere's transition from deterministic models to regenerative AI, showcasing their models, challenges in enterprise settings, and emphasis on predictability and risk mitigation. It discusses the company's structure, growth, decision to stay independent from major cloud providers, approach to product optionality, and capital efficiency in AI development. Additionally, it touches on the rapid growth and adoption of AI technology in enterprises, highlighting the shift towards full production workloads and increasing confidence in integrating AI into products.
Cohere is one of the buzziest AI startups around right now. It's not making consumer products; it's focused on the enterprise market and making AI products for big companies. And there's a huge tension there: up until recently, computers have been deterministic. If you give computers a certain input, you usually know exactly what output you’re going to get. There’s a logic to it. But if we all start talking to computers with human language and getting human language back, well, human language is messy. And that makes the entire process of knowing what to put in and what exactly we’re going to get out of our computers different than it ever has been before.
Links:
Transcript: https://www.theverge.com/e/23937899
Credits:
Decoder is a production of The Verge and part of the Vox Media Podcast Network.
Our producers are Kate Cox and Nick Statt. Our editor is Callie Wright. Our supervising producer is Liam James.
The Decoder music is by Breakmaster Cylinder.
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