Community Blog & Articles

Community Articles

Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox

OlmoEarth v1.3: State-of-the-art embeddings for the whole planet

Ensemble forecasting with IBM Granite time-series models

NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required

How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications

Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.

Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster

Hugging Face ❤️ TorchTPU: TPUs, Natively

AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms

MPS in PyTorch 2.15

TorchNeuron: running HF models on AWS Trainium is easier than ever

Welcome Beam: a 501B open model you can own, customize, and scale

Apertus 1.5 Release Notes

Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta

NEW Articles from Team or Enterprise organizations will get promoted to the main section.

Community Blog & Articles

Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint

NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models

Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline

The Missing Piece in LLM Memory: Why Long Context and Retrieval Aren't Enough for Belief Revision

ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model

SlideOn & mSlideOn: Sparsified Late-Interaction and Dense Retrievers

Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories

NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation

UltraBERT: One Encoder for Classification and Retrieval

bekko-static-embedding-v1: State-of-the-Art Retrieval for Multilingual Static Embeddings

The Most Intuitive Way to Understand Score Function Centering: Understand Trainer-Generator Mismatch in Async RL from the Score Function

Tokenmaxxing BERT: 50x faster tokenization

Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.0

A curriculum for post-training agents

Do we really need bigger AI weather forecasting models to improve resolution?

Sort your prompts: a free speed-up for MoE batch inference

NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability

In financial services, the AI question is moving from the model to where it runs

Lattice 4D Real-World Dataset

NVIDIA Kumo Anomaly Brings Diffusion-Based Anomaly Detection to Multivariate Time Series

Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox

OlmoEarth v1.3: State-of-the-art embeddings for the whole planet

Ensemble forecasting with IBM Granite time-series models

NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required

How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications

Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.

Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster

Hugging Face ❤️ TorchTPU: TPUs, Natively

AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms

MPS in PyTorch 2.15

TorchNeuron: running HF models on AWS Trainium is easier than ever

Welcome Beam: a 501B open model you can own, customize, and scale

Apertus 1.5 Release Notes

Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta

Granite Switch 4.1: Chat, Decisions, and Speech from One Endpoint

NVIDIA Nemotron 3.5 Embed, Rerank, and Parse: Advancing Agents with World-Class Retrieval Models

Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline

The Missing Piece in LLM Memory: Why Long Context and Retrieval Aren't Enough for Belief Revision

ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model

SlideOn & mSlideOn: Sparsified Late-Interaction and Dense Retrievers

Announcing SimReady Central: An Open Library of Simulation-Ready 3D Assets for Robotics and AI Factories

NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation

UltraBERT: One Encoder for Classification and Retrieval

bekko-static-embedding-v1: State-of-the-Art Retrieval for Multilingual Static Embeddings

The Most Intuitive Way to Understand Score Function Centering: Understand Trainer-Generator Mismatch in Async RL from the Score Function

Tokenmaxxing BERT: 50x faster tokenization

Train in Simulation, Deploy on a Real Robot: Microduck with Isaac Lab 3.0

A curriculum for post-training agents

Do we really need bigger AI weather forecasting models to improve resolution?

Sort your prompts: a free speed-up for MoE batch inference

NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability

In financial services, the AI question is moving from the model to where it runs

Lattice 4D Real-World Dataset

NVIDIA Kumo Anomaly Brings Diffusion-Based Anomaly Detection to Multivariate Time Series