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Why code-testing startup Nova AI uses open source LLMs more than OpenAI
Enterprises still don't trust OpenAI, while open source AI models are cheaper and more than sufficient for targeted specific tasks, Nova AI founder says. Enterprises still don't trust OpenAI, while open source AI models are cheaper and more than sufficient for targeted specific tasks, Nova AI founder says.
It is attempting to best its competitors with its end-to-end testing tools by breaking many of the Silicon Valley rules of how startups should operate, founder CEO Zach Smith tells TechCrunch. Whereas the standard Y Combinator approach is to start small, Nova AI is aiming at mid-size to large enterprises with complex code-bases and a burning need now. While not sending customer data to OpenAI appeases nervous enterprises, open source AI models are also cheaper and more than sufficient for doing targeted specific tasks, Smith has found.
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