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Free Trading Resources v2
Laten Alignment and Variational Attention
lucidrains/agent-attention-pytorch: Implementation of Agent Attention in Pytorch
SJTU-IPADS/PowerInfer: High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
johnma2006/mamba-minimal: Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
Schopenhauer: The Total Denial of the World by the Greatest Pessimist of Philosophy
Paper page - LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Liu-xiandong/How_to_optimize_in_GPU:
FAUST Explained: Goethe’s eulogy of the Enlightenment & its philosophical influence
patrick-kidger/optimistix: Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox.
Mat’s Blog - Transformers From Scratch
Freud and Philosophy
A million particles in a Navarro-Frenk-White potential
Profiling and Optimizing an Interpreter — Andrew Healey
cities and purpose - by Patricia Mou - wellness wisdom
[attribute] | CSS-Tricks - CSS-Tricks
Large Language Models in Five Formulas
The Hidden Costs of Happiness
0152 - Letter To A Young Songwriter - 1,000,000 words by @visakanv
Exhibitions and Collections | Arthur Ganson
Nietzsche 4/13: Deleuze
Worse Is Better
perpetual state of being?
Analysis of all pyproject.toml's on PyPI
phiresky/sql.js-httpvfs: Host read-only SQLite databases on static pages.
Geoffrey Hinton | Will digital intelligence replace biological intelligence?
how to co-parent baby ideas - by Anson Yu
About Atheisms & Theologies | Nietzche's BGE
Pia-Mélissa Laroche
MarIQ -- Q-Learning Neural Network for Mario Kart -- Seth Bling
Our education system is losing relevance. Here's how to update it | World Economic Forum
Creativity can be provoked on-demand - by Gordon Brander
Constructivist Teaching and Learning
Smoke & mirrors - by Ashley Zhang
Awaking in New York by Maya Angelou
[2312.08361] Distributed Inference and Fine-tuning of Large Language Models Over The Internet
Learning to Route Among Specialized Experts for Zero-Shot Generalization - PHATGOOSE
Matryoshka Representation Learning
StoltWakkGood_SUBMIT_final
🗒️ Notes from a tired maintainer
Introducing QuIP#, 2-bit LLMs with fp16 perf
Sakura-SOLAR-DPO: Merge, SFT, and DPO
no wonder he’s everyone’s new favourite director - Yorgos Lanthimos
Computational Thinking and Problem Solving
Efficient LLM inference - by Finbarr Timbers
Overfitting in training
Turing Complete Transformers: Two Transformers Are More Powerful Than One | OpenReview
Matryoshka Representation Learning (MRL) on LlamaIndex
Paper page - ChatCell: Facilitating Single-Cell Analysis with Natural Language
Paper page - UFO: A UI-Focused Agent for Windows OS Interaction