2024-11-25

Models

• Qwen/QwQ-32B-Preview · Hugging Face
  • QwQ: Reflect Deeply on the Boundaries of the Unknown | Qwen

Papers

• [2411.17465] ShowUI: One Vision-Language-Action Model for GUI Visual Agent
• [2411.17116] Star Attention: Efficient LLM Inference over Long Sequences
• [2411.17685] Attamba: Attending To Multi-Token States
  • GitHub - NVIDIA/Star-Attention: Efficient LLM Inference over Long Sequences
• [2411.15242] The Zamba2 Suite: Technical Report
• [2410.19055] Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms
• [2402.15898] Transductive Active Learning: Theory and Applications

Code

• GitHub - ClashLuke/HeavyBall: Efficient optimizers

Articles

• Modular: Understanding SIMD: Infinite Complexity of Trivial Problems

Videos

• 1st Workshop on X-Embodiment Robot Learning, CoRL’24 - YouTube
• Guest Lecture 2: Jiaming Song - Dream Machine: Video Foundation Models (KAIST CS492D, Fall 2024)
• Hearing the AGI from GMM HMM to GPT 4o Yu Zhang - November 15th LTI Colloquium Speaker - Yu Zhang - YouTube
• Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms - NeurIPS2024 - YouTube
• Open Reasoning vs OpenAI - YouTube
• Video Conferencing, Web Conferencing, Webinars, Screen Sharing - Zoom
• Learning on Graphs Conference - YouTube
• A little guide to building Large Language Models in 2024 - YouTube
• Test-Time Adaptation: A New Frontier in AI - YouTube

Other

• Pretraining Large Language Models

Tweets