NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
nvidia
• • 91Community Blog & Articles
Community Articles
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StateBench: Testing how language models track state changes over long documents
6
November 3, 2026 
Palette: teaching a small model to build decks in your design language
4
November 3, 2026 
securityevaluationbenchmark
CWE-bench v2: More coverage, quality, and transparency
6
November 3, 2026 
transformersguide
Transformers Model Integration Contracts
12
November 3, 2026 
nemotron-halloween
54
October 30, 2026 
Granite Switch 4.1.1 — Update models like you update software
33
October 29, 2026 
open-sourcesciencedatasets
Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
- +3
30
October 29, 2026 
transformersmistralvllm
Welcome Le Chonk: Mistral Large 4 on Hugging Face
- +7
71
October 29, 2026 
swiftmlxcoreml
Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms
17
October 29, 2026 
Build specialized multimodal models with LFM3
97
October 27, 2026 
neurontorchtransformers
Does Your Model Run on AWS Trainium? Look It Up
34
October 23, 2026 
Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
23
October 22, 2026 
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
38
October 21, 2026 
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
13
October 21, 2026 NEW Articles from Team or Enterprise organizations will get promoted to the main section.
NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
nvidia
• • 91A curriculum for post-training agents
huggingface
• • 98Same Model, Different Harness: CUGA, Hermes, and Deep Agents — When to Pick CUGA?
ibm-research
• • 27Mundo: From seeing a place to simulating what happens there
Luo-Yihang
• • 79Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories
nvidia
• • 59Introducing Lumma-Fev-v2
FrontiersMind
• • 15Can we trust LLMs to judge whether a research idea is novel?
allenai
• • 18Clover\-35B\-A3B\-Preview: A New Way for Intelligence
Diffuspace
• • 14CyberArena: Benchmarking AI Agents in Live Symmetric Attack-and-Defense Combat
2077AIDataFoundation
• • 14ViKernel: Why the Kill Switch Must Live Inside the Model
FINAL-Bench
• • 11NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models
nvidia
• • 67Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.0
nvidia
• • 28Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster
ibm-granite
• • 36MOPD: how frontier labs merge RL experts into one model and how to do it using TRL
sergiopaniego
• • 9NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
nvidia
• • 41Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
ibm-granite
• • 81The Sleeper in the Weights: We Planted a Backdoor in an Agent, and Only the Kernel Caught It
FINAL-Bench
• • 7Introducing A5: Proactive Personal Agent in Your Life-Long Context
KYLN24
• • 28Sliding window beats linear attention, but only on short answers
sirluk
• • 5Bring Your Own Schema: How We Built kniv v7
dragonscale-ai
• • 5