Inside three.ws: The Open-Source Stack That Gives AI Agents a Body, a Brain, a Wallet, and a Job
three-ws
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Inside three.ws: The Open-Source Stack That Gives AI Agents a Body, a Brain, a Wallet, and a Job
three-ws
• • 41Extremely Fast and Accurate Transcription with Granite Speech 5.0 Turbo CTC
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• • 30Writing Down the Line Between Luck and Skill
FINAL-Bench
• • 14Modern LLMs: What the FLIP is an Engram!?
Blackroot
• • 11Introducing the EdgeFirst Model Zoo
EdgeFirst
• • 8Uncensor any LLM with abliteration
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• • 905Agentic RL: Token-In, Token-Out Done Right
huggingface
• • 30We changed one line and the benchmark score moved 0.21 AUROC
FINAL-Bench
• • 13TAVR: Generate Your Talking Avatar from Video Reference
HeyGenAI
• • 4TransVLM: Detecting Any Shot Transition with Vision-Language Models
HeyGenAI
• • 4Small Language Models (SLM): A Comprehensive Overview
jjokah
• • 174NEO-unify: Building Native Multimodal Unified Models End to End
sensenova
• • 179The Best Open Source and Open-Weight LLM Models to Run Locally in 2026
daya-shankar
• • 19Extreme Overtraining in Tiny Language Models
Banaxi-Tech
• • 12EgoSuite-Open100K: 100,000 hours of egocentric human data for Physical AI
LightwheelAI
• • 3Intel GPU AI Skills
kushal-mittal
• • 3Stop Abusing Git for ML Data: The Architect’s Guide to AI Storage
prpatel
• • 3ColPali: Efficient Document Retrieval with Vision Language Models 👀
manu
• • 329The Large Language Model Course
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• • 233How I Trained Action Chunking Transformer (ACT) on SO-101: My Journey, Gotchas, and Lessons
sherryxychen
• • 80