veekaybee

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

Pre-Transformer Models

sfc-gh-dmatthews

#Put home.py in a working directory. Put page_1.py and page_2.py in a folder named pages.

import streamlit as st
import pandas as pd

def initialize():
    # the data
    st.session_state.df1 = pd.DataFrame({'A':[1,2],'B':[3,4]})
    st.session_state.df2 = pd.DataFrame({'A':[1,2],'B':[3,4]})
    # the shadow data

tdhopper

# http://editorconfig.org/#file-format-details
root = true

[*]
charset = utf-8
end_of_line = lf
indent_size = 4
indent_style = space
insert_final_newline = true
trim_trailing_whitespace = true

JoeyBurzynski

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}

beeman

# Stop all containers
docker stop `docker ps -qa`

# Remove all containers
docker rm `docker ps -qa`

# Remove all images
docker rmi -f `docker images -qa `

# Remove all volumes