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Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization

nvidia

•

2 days ago

• 50

Open Yap 1K: 1,000 hours of full-duplex natural conversation, free for commercial use

TheAgenticDataCompany

•

21 days ago

• 20

Layer-Feedback Transformer (LFT)

Jev AI vs LLMs: When Should You Use a Decision Model Instead of a Chat Model?

Compute:Arena / Measuring Local Inference Across Models, Quants, Chips, and Runtimes

Jev ai vs djev vs Laya vs OpenJev vs SemIf: Which Decision Model Should You Use?

Making open-source AI weather forecasting models easy to run

Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic

MultiverseComputingCAI

•

17 days ago

• 31

relore - repository memory for coding agents

FLUX 3 Action: a world action model you can fine-tune

NLI Cross Encoders: 6 Ways to Use Them

When Benchmark Numbers Become Marketing

Basis Conversations 1500: 1,500 hours of multilingual, multi-party conversation

PyTorch 性能剖析（第 2 部分）：从 nn.Linear 到融合 MLP

2026年6月11日

torchprofileCUDA

PyTorch 性能剖析（第 1 部分）：torch.profiler 入门指南

2026年5月29日

llmfine-tuningopen-source

Codex 正在推动 AI 模型的开源与训练流程

2025年12月11日

partnershipsgoogleannouncement

构建开放的未来——我们与 Google Cloud 的全新合作伙伴关系

2025年11月13日

lerobotrobotics

使用 NVIDIA Isaac 构建医疗机器人：从仿真到部署

2025年10月29日

ethicsguidespeech

经同意的语音克隆

2025年10月28日

datasetsxethub

流式数据集：效率提升 100 倍

2025年10月27日

huggingface_hubpythonannouncement

huggingface_hub v1.0：开源机器学习基础五周年回顾

2025年10月27日

lerobotrobotics

LeRobot v0.4.0：全面提升开源机器人的学习能力

2025年10月24日

ocrvisionmultimodal

用开源模型强化你的 OCR 工作流

2025年10月21日

datasetsopen-sourcevision

用 AI Sheets 解锁图像的力量

2025年10月21日

transformerspytorchoptimization

来自OpenAI gpt-oss的技巧，你🫵在transformers中也可以使用

2025年9月11日

spaceszerogpupytorch

ZeroGPU Spaces 加速实践：PyTorch Ahead-of-Time Compilation 全解析

2025年9月2日

mcpllmqwen

用 Claude 和 Hugging Face 生成图像

2025年8月19日

Community Articles

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

How to Use the Jev AI Model: A Step-by-Step Developer Guide

Inside the JEV Ecosystem: 13 Answer Verifiers on One Test Set

Your model already knows it's wrong. Asking costs 0.06 seconds and zero tokens.

What Is Jev AI? A Practical Guide to System One and Executable Decisions

Optimum-Intel v2.2.0 & OpenVINO GenAI 2026.4.0: What's New

Introducing jev-reranker: Reranking and Relevance Filtering for RAG

How to Train Your Robot: The LanceDB Edition

Open Yap 1K: 1,000 hours of full-duplex natural conversation, free for commercial use

TheAgenticDataCompany

•

21 days ago

• 20

Layer-Feedback Transformer (LFT)

Jev AI vs LLMs: When Should You Use a Decision Model Instead of a Chat Model?

Compute:Arena / Measuring Local Inference Across Models, Quants, Chips, and Runtimes

Jev ai vs djev vs Laya vs OpenJev vs SemIf: Which Decision Model Should You Use?

Making open-source AI weather forecasting models easy to run

Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic

MultiverseComputingCAI

•

17 days ago

• 31

relore - repository memory for coding agents

FLUX 3 Action: a world action model you can fine-tune

NLI Cross Encoders: 6 Ways to Use Them

When Benchmark Numbers Become Marketing

Basis Conversations 1500: 1,500 hours of multilingual, multi-party conversation

社区博客与文章

**Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization**

How to Use the Jev AI Model: A Step-by-Step Developer Guide

Inside the JEV Ecosystem: 13 Answer Verifiers on One Test Set

Your model already knows it's wrong. Asking costs 0.06 seconds and zero tokens.

What Is Jev AI? A Practical Guide to System One and Executable Decisions

Optimum-Intel v2.2.0 & OpenVINO GenAI 2026.4.0: What's New

Introducing jev-reranker: Reranking and Relevance Filtering for RAG

How to Train Your Robot: The LanceDB Edition

Open Yap 1K: 1,000 hours of full-duplex natural conversation, free for commercial use

Layer-Feedback Transformer (LFT)

Jev AI vs LLMs: When Should You Use a Decision Model Instead of a Chat Model?

Compute:Arena / Measuring Local Inference Across Models, Quants, Chips, and Runtimes

Jev ai vs djev vs Laya vs OpenJev vs SemIf: Which Decision Model Should You Use?

Making open-source AI weather forecasting models easy to run

Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic

relore - repository memory for coding agents

FLUX 3 Action: a world action model you can fine-tune

NLI Cross Encoders: 6 Ways to Use Them

When Benchmark Numbers Become Marketing

Basis Conversations 1500: 1,500 hours of multilingual, multi-party conversation

PyTorch 性能剖析（第 2 部分）：从 nn.Linear 到融合 MLP

PyTorch 性能剖析（第 1 部分）：torch.profiler 入门指南

Codex 正在推动 AI 模型的开源与训练流程

构建开放的未来——我们与 Google Cloud 的全新合作伙伴关系

使用 NVIDIA Isaac 构建医疗机器人：从仿真到部署

经同意的语音克隆

流式数据集：效率提升 100 倍

huggingface_hub v1.0：开源机器学习基础五周年回顾

LeRobot v0.4.0：全面提升开源机器人的学习能力

用开源模型强化你的 OCR 工作流

用 AI Sheets 解锁图像的力量

来自OpenAI gpt-oss的技巧，你🫵在transformers中也可以使用

ZeroGPU Spaces 加速实践：PyTorch Ahead-of-Time Compilation 全解析

用 Claude 和 Hugging Face 生成图像

**Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization**

How to Use the Jev AI Model: A Step-by-Step Developer Guide

Inside the JEV Ecosystem: 13 Answer Verifiers on One Test Set

Your model already knows it's wrong. Asking costs 0.06 seconds and zero tokens.

What Is Jev AI? A Practical Guide to System One and Executable Decisions

Optimum-Intel v2.2.0 & OpenVINO GenAI 2026.4.0: What's New

Introducing jev-reranker: Reranking and Relevance Filtering for RAG

How to Train Your Robot: The LanceDB Edition

Open Yap 1K: 1,000 hours of full-duplex natural conversation, free for commercial use

Layer-Feedback Transformer (LFT)

Jev AI vs LLMs: When Should You Use a Decision Model Instead of a Chat Model?

Compute:Arena / Measuring Local Inference Across Models, Quants, Chips, and Runtimes

Jev ai vs djev vs Laya vs OpenJev vs SemIf: Which Decision Model Should You Use?

Making open-source AI weather forecasting models easy to run

Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic

relore - repository memory for coding agents

FLUX 3 Action: a world action model you can fine-tune

NLI Cross Encoders: 6 Ways to Use Them

When Benchmark Numbers Become Marketing

Basis Conversations 1500: 1,500 hours of multilingual, multi-party conversation

Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization

Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization