Fibinse Xavier fx86

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

Conferences

Hydraconf

Summer School

Summer school on practice and theory of Distributed Computing

Books

Goal

Want to move computation on machine with much power. We will set up Anaconda 4.0.0 and XGBoost 0.4 (it is tricky installable).

Preliminaries

Amazon AWS Educate gives 100$ for MIPT students.
GitHub Students Pack additionaly gives 15$.

Let's start

AWS Console and launching EC2 Instance.

Setup

$ pip install click requests

Usage

$ python query_export.py --redash-url "https://app.redash.io/" --api-key ""

	{
	"lines.linewidth": 2.0,
	"examples.download": true,
	"patch.linewidth": 0.5,
	"legend.fancybox": true,
	"axes.color_cycle": [
	"#30a2da",
	"#fc4f30",
	"#e5ae38",
	"#6d904f",

	from tornado import auth, httpclient, httputil, escape
	import urllib.request
	import urllib.parse
	import urllib.error
	import functools

	REQUEST_TIMEOUT = 20.0


	class LinkedInMixin(auth.OAuth2Mixin):

	#!/bin/sh

	# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
	# CREATE block and create them in separate commands _after_ all the INSERTs.

	# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
	# The mysqldump file is traversed only once.

	# Usage: $ ./mysql2sqlite mysqldump-opts db-name \| sqlite3 database.sqlite
	# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase \| sqlite3 database.sqlite