The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · Why Jev Is Changing How We Build With AI with Diogo Almeida
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recommend that users embed the Jev model directly into their own code, treating it like a database API rather than relying on an external harness
“The trick is just externalize to a file system… force everything to run through code, you know, trust the model that can write code and it's going to write its own harnesses itself”
“We provide an end user interface so that users can select from multiple model providers… administrators have complete governance and control over how data is treated before it ever leaves their network boundary”
“I felt like for me, AGI arrived the moment that I stopped treating AI models like they were dumber than me…”
“To use the GPU power more efficiently, you can aggregate the API code from different users to fill in the computes.”
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