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.
![Screenshot 2023-12-18 at 10 40 27 PM](https://private-user-images.githubusercontent.com/3837836/291468646-4c30ad72-76ee-4939-a5fb-16b570d38cf2.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.IfotNP5Z15K6UJlaH0OGw0bSWYbGDcDF15gfhLQ2ZTE)
function Code() { | |
const ref = React.useRef() | |
React.useEffect(() => { | |
const handler = e => { | |
const selected = document.getSelection().toString().trim() | |
ref.current.querySelectorAll("span:not(:has(*))").forEach(element => { | |
if (element.textContent === selected) { | |
element.classList.add("selected") | |
} else { | |
element.classList.remove("selected") |
#!/usr/bin/env bash | |
######################################################################################################################## | |
# This is a build script for misc. TensorFlow dependencies which do NOT have pre-compiled packages available for | |
# M-series (Apple Silicon) macs. | |
# | |
# Who: team members who use M1 macs and would like to run the project | |
# | |
# Caution: This script will use all available processors (rendering the machine relatively unusable) and will take a | |
# significant amount of time (about 2h 0m 15s on an M1 mac). |