The ‘Download More Labels!’ Illusion in AI Research
Source: Unite.AI A common view in current machine learning research is that machine learning itself can be used...
Muon Optimizer Significantly Accelerates Grokking in Transformers: Microsoft Researchers Explore Optimizer Influence on Delayed Generalization
Source: MarkTechPost Revisiting the Grokking Challenge In recent years, the phenomenon of grokking—where deep learning models exhibit a...
LLMs Can Now Learn without Labels: Researchers from Tsinghua University and Shanghai AI Lab Introduce Test-Time Reinforcement Learning (TTRL) to Enable Self-Evolving Language Models Using Unlabeled Data
Source: MarkTechPost Despite significant advances in reasoning capabilities through reinforcement learning (RL), most large language models (LLMs) remain...
“Periodic table of machine learning” could fuel AI discovery
Source: MIT News – Artificial intelligence MIT researchers have created a periodic table that shows how more than...
Open-Source TTS Reaches New Heights: Nari Labs Releases Dia, a 1.6B Parameter Model for Real-Time Voice Cloning and Expressive Speech Synthesis on Consumer Device
Source: MarkTechPost The development of text-to-speech (TTS) systems has seen significant advancements in recent years, particularly with the...