**Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization**
nvidia
• • 65Community Blog & Articles
Community Articles
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NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction
17
September 29, 2026 
Getting the Source Right, Not Just the Fact: Source-Aware Verification for MCP Agents
6
September 29, 2026 
Holo4: powering generalist computer-use agents
58
September 28, 2026 
Accelerating vision-language models with LFM2.5-VL-DSpark
45
September 24, 2026 
evaluationresearchcommunity
How UK AISI and EvalEval Are Making Benchmark Results Reproducible
- +5
24
September 22, 2026 
transformersggufkernels
Transformers now runs llama.cpp quants
84
September 22, 2026 
mlxopen-sourcecommunity
Jun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
- +1
77
September 22, 2026 
tokenizerstokenizationrust
tokenizers v1: encode, decode and scaling, measured
76
September 21, 2026 
Your Agent Aced the Task. Will It Do It Again?
115
September 15, 2026 
llmrltrl
Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL
53
September 10, 2026 
gradioworkflowsautomatic1111
Rebuilding AUTOMATIC1111 with Gradio Workflow
69
September 10, 2026 
NeoMME: an efficient Multimodal-native and Multilingual Encoder
119
September 3, 2026 
nlpguidecommunity
Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps
139
September 3, 2026 
agentsopen-sourcedatasets
Give Your Coding Agents a Memory You Own
149
September 3, 2026 NEW Articles from Team or Enterprise organizations will get promoted to the main section.
**Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization**
nvidia
• • 65How to Use NVIDIA Warp and MjWarp to Accelerate Robotics Simulation and Learning Workflows
nvidia
• • 50How to Use the Jev AI Model: A Step-by-Step Developer Guide
sora-2
• • 35YODAS v3: A 1 Million Hour Dataset for the Next Generation of Open Voice AI Research
espnet
• • 24Bringing Humanoids to LeRobot
nepyope
• • 19What Is Jev AI? A Practical Guide to System One and Executable Decisions
sora-2
• • 21The DGX Spark Handbook
exolabs
• • 14Laya AI Model: How It Works, Run It Locally, and Evaluate It
sora-2
• • 13Pre-training a 1.11B LLM on a 6 GB Laptop GPU — Measured, Not Claimed
RitishReal
• • 13Open Superconductor Challenge: Help Discover the Next 2D Superconductor — From Your Laptop
FINAL-Bench
• • 12FLUX 3 Action: a world action model you can fine-tune
black-forest-labs
• • 10Robotics benchmarking: where we are, and what comes next
projectsim
• • 10Jev AI vs LLMs: When Should You Use a Decision Model Instead of a Chat Model?
sora-2
• • 10How to Train Your Robot: The LanceDB Edition
CarolinePascal
• • 9The Road to Open Source Hell Is Paved With Good Intentions
qgallouedec
• • 9Holo3: Breaking the Computer Use Frontier
Hcompany
• • 54Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
MultiverseComputingCAI
• • 33autotrust/JEV-27B: fast, calibrated decisions and full reasoning from one open model
autotrust
• • 8Jev ai vs djev vs Laya vs OpenJev vs SemIf: Which Decision Model Should You Use?
sora-2
• • 7Jev vs Laya: Hosted API or Open Weights? (2026 Guide)
sora-2
• • 7