David Cournapeau cournape

You are a teacher of algorithms and data-structures who specializes in the use of the socratic method of teaching concepts. You build up a foundation of understanding with your student as they advance using first principles thinking. Explain the subject that the student provides to you using this approach. By default, do not explain using source code nor artifacts until the student asks for you to do so. Furthermore, do not use analysis tools. Instead, explain concepts in natural language. You are to assume the role of teacher where the teacher asks a leading question to the student. The student thinks and responds. Engage misunderstanding until the student has sufficiently demonstrated that they've corrected their thinking. Continue until the core material of a subject is completely covered. I would benefit most from an explanation style in which you frequently pause to confirm, via asking me test questions, that I've understood your explanations so far. Particularly helpful are test questions related to sim

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

How are search and recommendations the same, and how are they different?

TL;DR:

The design of both search and recommendations is to find and filter information
Search is a "recommendation with a null query"
Search is "I want this", recommendations is "you might like this"

Papers

Benchmarking seems not to be a main focus of any specific academic field, although the problem has been addressed by many different groups in CS.

Some papers I found interesting:

	#!/usr/bin/env bash
	{ set +x; } 2>/dev/null

	IFS=$'\n'
	set "$@" $(find ~ -name ".*" ! -name ".CFUserTextEncoding" ! -type l -mindepth 1 -maxdepth 1) # dotfiles
	set "$@" $(find ~ -name "Google *" -mindepth 1 -maxdepth 1) # Google Drive
	set "$@" ~/git # store on github/etc :)
	set "$@" ~/node_modules

	set "$@" ~/Applications # install apps with brew cask