Amos You

on the atlas — 28

• How I Hacked Temu - Thijs's Portfolio2 savers
• I Saved an Electron Microscope from the Trash - YouTube1 savers
• FFS-annotated.pdf1 savers
• Brain Fuck Scheduler - Wikipedia1 savers
• konstin/sudoku-in-python-packaging: Sudoku solving in python packaging1 savers
• The Living Museum1 savers
• MISTY/ミスティー/HAYATO KODAMA/児玉隼人/Meiden/愛工大名電高校/2024.04.04 - YouTube1 savers
• Paperlib1 savers
• 7 Simul Tutorial (Clock) by Tommy Cherry - YouTube1 savers
• How This Guy is Saving Chinese Weightlifting - YouTube1 savers
• Git rebase --onto squashed branch - Stack Overflow1 savers
• [2406.06714] Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation1 savers
• MV 241 savers
• Activation function and GLU variants for Transformer models | by Tarique Anwar | Medium1 savers
• things are a little crazy rn1 savers
• What "Follow Your Dreams" Misses | Harvey Mudd Commencement Speech 2024 - YouTube2 savers
• Figure skating at the 2002 Winter Olympics - Wikipedia1 savers
• Coding Speed Test1 savers
• Answer.AI - A few tips for working on high-surface-area problems2 savers
• Structured State Spaces: Combining Continuous-Time, Recurrent, and Convolutional Models · Hazy Research3 savers
• Detecting interference: An A/B test of A/B tests1 savers
• lingjiao chen on X: "A surprising finding: a larger number of LLM calls can incur worse performance of compound AI systems! Why and what is the desired number of LLM calls? We initialize the study of scaling properties of compound AI systems both theoretically and empirically: https://t.co/MWmmgosENz https://t.co/w9u42nJ3av" / X1 savers
• Principles of Effective Research | Michael Nielsen20 savers
• Everything Good in NYC - Google Docs16 savers
• Mamba: The Hard Way9 savers
• Training great LLMs entirely from ground zero in the wilderness as a startup — Yi Tay7 savers
• Musings on Building a Generative AI Product4 savers
• Transformers Inference Optimization Toolset | AstraBlog3 savers