NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
nvidia
• • 88Community Blog & Articles
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nemotron-halloween
19
October 30, 2026 
Granite Switch 4.1.1 — Update models like you update software
25
October 29, 2026 
open-sourcesciencedatasets
Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
- +3
20
October 29, 2026 
transformersmistralvllm
Welcome Le Chonk: Mistral Large 4 on Hugging Face
- +7
56
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
85
October 27, 2026 
Can we trust LLMs to judge whether a research idea is novel?
16
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
22
October 22, 2026 
Ensemble forecasting with IBM Granite time-series models
25
October 22, 2026 
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
37
October 21, 2026 
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
13
October 21, 2026 
tpugooglegcp
Hugging Face ❤️ TorchTPU: TPUs, Natively
- +1
52
October 20, 2026 
swiftllmmlx
AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms
6
October 20, 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
• • 88A curriculum for post-training agents
huggingface
• • 90Mundo: From seeing a place to simulating what happens there
Luo-Yihang
• • 75Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories
nvidia
• • 56LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
allenai
• • 39Introducing A5: Proactive Personal Agent in Your Life-Long Context
KYLN24
• • 28Introducing Lumma-Fev-v2
FrontiersMind
• • 15Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster
ibm-granite
• • 36What's new in the hf CLI and huggingface_hub library
huggingface
• • 13NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
nvidia
• • 36NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models
nvidia
• • 64Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.0
nvidia
• • 23Clover\-35B\-A3B\-Preview: A New Way for Intelligence
Diffuspace
• • 10DecisionFormer
FrontiersMind
• • 9Pretraining a 325M Language Model from Zero on an Inference-Only NPU
FINAL-Bench
• • 9Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint
ibm-granite
• • 80Uncensor any LLM with abliteration
mlabonne
• • 945Do LLM Routers Actually Route? Quick answer: Not much!
PeterKruger
• • 6SlideOn & mSlideOn: Sparsified Late-Interaction and Dense Retrievers
lightonai
• • 29NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction
nvidia
• • 105