Inception
@_inception_ai • 17,148 subscribers
Pioneering a new generation of LLMs.
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Today's autoregressive models generate one token at a time. Mercury 2 generates tokens in parallel. Over 1,000 tok/sec on standard GPUs, at comparable quality to speed-optimized models. Since launch, the community has been showing what diffusion LLMs can unlock. Thanks to the team at Clyep for the breakdown.
Inception21,231 Aufrufe • vor 2 Monaten
What if language models didn't have to generate one token at a time? Our CEO Stefano Ermon joined @TBPN to break down how Mercury 2's diffusion LLM hits 1,000+ tok/s on standard NVIDIA GPUs — and why speed changes the product for coding, voice agents, and search.
Inception27,108 Aufrufe • vor 4 Monaten
Inception's founding team came together at Stanford. Aditya Grover was Stefano Ermon's second PhD student. Volodymyr Kuleshov 🇺🇦 joined the group as a postdoc. Aditya and Volo shared an office. Years later, Stefano's lab hit a breakthrough on diffusion for language. Volo's group at Cornell was publishing adjacent work. Aditya's research at UCLA overlapped with the direction. Part 3 of our founder story series with Tim Tully at Menlo Ventures ↓
Inception16,653 Aufrufe • vor 2 Monaten
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