**Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization** nvidia • 1 day ago • 43
Your model already knows it's wrong. Asking costs 0.06 seconds and zero tokens. FINAL-Bench • 4 days ago • 12
Open Yap 1K: 1,000 hours of full-duplex natural conversation, free for commercial use TheAgenticDataCompany • 21 days ago • 20
BananaMind 2 Pro: We've (almost) matched SmolLM2 at 20x fewer tokens... Trained On a 5070 Ti Banaxi-Tech • 6 days ago • 6
Jev AI vs LLMs: When Should You Use a Decision Model Instead of a Chat Model? sora-2 • 4 days ago • 6
Compute:Arena / Measuring Local Inference Across Models, Quants, Chips, and Runtimes basecompute • 2 days ago • 6
Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic MultiverseComputingCAI • 16 days ago • 31
Basis Conversations 1500: 1,500 hours of multilingual, multi-party conversation basis-ai • about 19 hours ago • 4
**Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization** nvidia • 1 day ago • 43
Your model already knows it's wrong. Asking costs 0.06 seconds and zero tokens. FINAL-Bench • 4 days ago • 12
Open Yap 1K: 1,000 hours of full-duplex natural conversation, free for commercial use TheAgenticDataCompany • 21 days ago • 20
BananaMind 2 Pro: We've (almost) matched SmolLM2 at 20x fewer tokens... Trained On a 5070 Ti Banaxi-Tech • 6 days ago • 6
Jev AI vs LLMs: When Should You Use a Decision Model Instead of a Chat Model? sora-2 • 4 days ago • 6
Compute:Arena / Measuring Local Inference Across Models, Quants, Chips, and Runtimes basecompute • 2 days ago • 6
Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic MultiverseComputingCAI • 16 days ago • 31
Basis Conversations 1500: 1,500 hours of multilingual, multi-party conversation basis-ai • about 19 hours ago • 4