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  • ☑ 10 Mins AI Read: NVIDIA AI Propose Nemotron-CrossThink and NVIDIA Open Sources Parakeet TDT 0.6B....

☑ 10 Mins AI Read: NVIDIA AI Propose Nemotron-CrossThink and NVIDIA Open Sources Parakeet TDT 0.6B....

May 07, 2025

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Dive into the hottest AI breakthroughs of the week—handpicked just for you!

Top 5 AI News 🔥 

Reasoning Models

🧵 Scaling Reinforcement Learning Beyond Math: Researchers from NVIDIA AI and CMU Propose Nemotron-CrossThink for Multi-Domain Reasoning with Verifiable Reward Modeling

⇧2,900 Likes

OpenSource

🧵 NVIDIA Open Sources Parakeet TDT 0.6B: Achieving a New Standard for Automatic Speech Recognition ASR and Transcribes an Hour of Audio in One Second

⇧2,800 Likes

Reinforcement Learning/ LLM

🧵 LLMs Can Now Talk in Real-Time with Minimal Latency: Chinese Researchers Release LLaMA-Omni2, a Scalable Modular Speech Language Model

⇧2,354 Likes

Machine Learning

🧵 Researchers from Fudan University Introduce Lorsa: A Sparse Attention Mechanism That Recovers Atomic Attention Units Hidden in Transformer Superposition

⇧2,100 Likes

LLM Agents

🧵 This AI Paper Introduce WebThinker: A Deep Research Agent that Empowers Large Reasoning Models (LRMs) for Autonomous Search and Report Generation

⇧1,800 Likes

Sponsored

⇧1,500 Likes

TL;DR

Scaling Reinforcement Learning Beyond Math: Researchers from NVIDIA AI and CMU Propose Nemotron-CrossThink for Multi-Domain Reasoning with Verifiable Reward Modeling

TL;DR: Researchers from NVIDIA, Carnegie Mellon University, and Boston University introduce Nemotron-CrossThink, representing a systematic framework for incorporating multi-domain corpora into RL training to enhance cross-task generalisation. The methodology follows a comprehensive pipeline that curates diverse data sources, including synthetic data from CommonCrawl and open-source question-answer pairs across STEM, humanities, law, and social sciences. By applying templated formats (MCQ/Open-Ended) to constrain answer spaces, filtering samples for verifiable rewards, and implementing strategic data-blending recipes, the framework enables effective self-learning through RL across diverse reasoning domains.

⇧ 1,449 Likes

TL;DR

NVIDIA Open Sources Parakeet TDT 0.6B: Achieving a New Standard for Automatic Speech Recognition ASR and Transcribes an Hour of Audio in One Second

NVIDIA has open-sourced Parakeet TDT 0.6B, a 600M parameter ASR model with a CC-BY-4.0 license, capable of transcribing 60 minutes of audio in just 1 second. It sets a new benchmark with a 6.05% WER on the Hugging Face Open ASR Leaderboard and offers cutting-edge features like song-to-lyrics transcription, timestamp formatting, and numerical precision. Optimized for high-speed inference (RTFx 3386), Parakeet V2 outperforms alternatives like Whisper and is poised to power next-gen voice applications across industries.

⇧ 1,449 Likes

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