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Nicolas Santini nsantini

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@veekaybee
veekaybee / normcore-llm.md
Last active October 13, 2025 07:06
Normcore LLM Reads

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Screenshot 2023-12-18 at 10 40 27 PM

Pre-Transformer Models

@GavinXing
GavinXing / mini-word2vec-pytorch.py
Created August 6, 2017 01:44
A complete word2vec based on pytorch tutorial
# encoding=utf-8
# Project: learn-pytorch
# Author: xingjunjie github: @gavinxing
# Create Time: 29/07/2017 11:58 AM on PyCharm
# Basic template from http://pytorch.org/tutorials/beginner/nlp/word_embeddings_tutorial.html
import torch
import torch.nn as nn
import torch.autograd as autograd
import torch.optim as optim
@pwalsh
pwalsh / mac-osx-development-environment.rst
Last active February 4, 2020 18:38
A development environment configuration on Mac OS X using Homebrew for package management. The configuration supports web app development in Python and Node. Additionally, there are some dependencies for audio synthesis projects in Python and Clojure.

Mac OS X development environment

Homebrew [ http://brew.sh/ ]

It all begins with Homebrew. This setup uses Homebrew for almost everything, including things your Mac ships with, like Python.

Managing everything in Homebrew lets us use the most up-to-date packages available, and means we are not subject to any customizations, however small, Apple makes to their packaged software.