zeeshanlakhani

#Code from http://fmota.eu/, great!
class Monoid:
	def __init__(self, null, lift, op):
		self.null = null
		self.lift = lift
		self.op   = op

	def fold(self, xs):
		if hasattr(xs, "__fold__"):
			return xs.__fold__(self)

vrilleup

import org.apache.spark.mllib.linalg.distributed.RowMatrix
import org.apache.spark.mllib.linalg._
import org.apache.spark.{SparkConf, SparkContext}

// To use the latest sparse SVD implementation, please build your spark-assembly after this
// change: https://github.com/apache/spark/pull/1378

// Input tsv with 3 fields: rowIndex(Long), columnIndex(Long), weight(Double), indices start with 0
// Assume the number of rows is larger than the number of columns, and the number of columns is
// smaller than Int.MaxValue

fperez

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