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Inception raises $50 million to build diffusion models for code and text
Diffusion models already power AI image generators, but Inception thinks they can be even more powerful applied in software development....
Inception, a startup led by Stanford professor Stefano Ermon, has raised $50 million in seed funding to develop diffusion-based AI models that generate outputs through iterative refinement. The company has released a new version of its Mercury model, which is designed for software development and is faster and more efficient than traditional auto-regression models.
Why it matters:
Why it matters:
Inception's diffusion-based AI models and its Mercury model for software development have the potential to bring significant efficiency gains and innovation to the AI industry.
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