Julian Quevedo

on the atlas — 75

• joanna's home1 savers
• Top of mind -1 savers
• Ben Reinhardt | About1 savers
• Artificial intelligence by mimicking natural intelligence1 savers
• Elon Litman | Elements of a Vector Space1 savers
• Some mistakes I made as a new manager | benkuhn.net2 savers
• Social learning - Linda Tong3 savers
• How to Optimize a CUDA Matmul Kernel for cuBLAS-like Performance: a Worklog23 savers
• The Generalist1 savers
• GPU Performance Background User's Guide - NVIDIA Docs2 savers
• Look Ma, No Bubbles! Designing a Low-Latency Megakernel for Llama-1B · Hazy Research5 savers
• CHM Releases AlexNet Source Code - CHM1 savers
• Outperforming cuBLAS on H100: a Worklog2 savers
• Bare-bones Diffusion Models2 savers
• How to use distributed shared memory in CUDA for inter-thread-block communication1 savers
• wangzyon/NVIDIA_SGEMM_PRACTICE: Step-by-step optimization of CUDA SGEMM1 savers
• Reverse-Engineering cuBLAS1 savers
• How to Start Google8 savers
• Stanford’s War on Social Life14 savers
• CUTLASS: Fast Linear Algebra in CUDA C++ | NVIDIA Technical Blog1 savers
• What Every Programmer Should Know About Memory5 savers
• Genie: Generative Interactive Environments - Google DeepMind1 savers
• the world’s largest distributed LLM training job on TPU v5e | Google Cloud Blog1 savers
• Claire Baum | LinkedIn1 savers
• Anna Ivanova1 savers
• Soft Actor-Critic — Spinning Up documentation2 savers
• Groq Inference Tokenomics: Speed, But At What Cost?2 savers
• cs140e-24win/labs/13-ss-equiv/README.md at main · dddrrreee/cs140e-24win1 savers
• Memory-Limited Layers User's Guide - NVIDIA Docs1 savers
• PT2 Architecture - Google Docs1 savers
• Accelerated Inference for Large Transformer Models Using NVIDIA Triton Inference Server | NVIDIA Technical Blog1 savers
• [2106.09685] LoRA: Low-Rank Adaptation of Large Language Models4 savers
• Building for builders - Linda Tong1 savers
• Sithwards Induction, or: The Dark Side for Grad Students - Econlib1 savers
• The Bitter Lesson74 savers
• Here's to the fools who dream54 savers
• Nat Friedman50 savers
• advice - nabeelqu43 savers
• crushes are often just misplaced ambition - by Isabel42 savers
• Andrej's advice for success39 savers
• How Tech Hype is Ruining College Students in Tech37 savers
• how to avoid half-heartedness - by Ava - bookbear express36 savers
• Half-assing it with everything you've got30 savers
• Teach Yourself Computer Science24 savers
• cdixon | Climbing the wrong hill23 savers
• Kernel | all the better to see you with19 savers
• [2304.03442] Generative Agents: Interactive Simulacra of Human Behavior19 savers
• Verbalizable Representations Form a Global Workspace in Language Models17 savers
• Life is Short15 savers
• Don't Major in Computer Science - by Varun Shenoy15 savers
• The Unreasonable Effectiveness of Recurrent Neural Networks14 savers
• quiet confidence13 savers
• Pmarchive · Pmarca Guide to Career Planning: Opportunity12 savers
• The Annotated S411 savers
• Kernel | Trees Won’t Save Us11 savers
• Kullback–Leibler divergence9 savers
• Planning for AGI and beyond9 savers
• A friendly introduction to machine learning compilers and optimizers9 savers
• Language Models, World Models, and Human Model-Building8 savers
• A GPS for the mind | thesephist.com8 savers
• A Recipe for Training Neural Networks6 savers
• quantitative finance - by nancy - general zuo's chicken6 savers
• Chip Huyen6 savers
• Hyperlink maximalism | thesephist.com6 savers
• Aleph5 savers
• Stop Treating Women Like Men5 savers
• Stanford Alpaca Model Release4 savers
• Mosaic LLMs (Part 2): GPT-3 quality for <$500k3 savers
• ACT-1: Transformer for Actions3 savers
• Simple advice for academic publishing - Marginal REVOLUTION3 savers
• A little bit of slope makes up for a lot of y-intercept2 savers
• What Is Attention in Language Models?2 savers
• Do I wish to revise my time management tips? - Marginal REVOLUTION2 savers
• The Perfect Match - Lightspeed Magazine2 savers
• Failing with Abandon2 savers