tokenbender

#!/usr/bin/env python3

import argparse, os, gc, json, random, csv
os.environ.setdefault("PYTORCH_CUDA_ALLOC_CONF", "expandable_segments:True")
# os.environ.setdefault("CUDA_LAUNCH_BLOCKING", "1")

import numpy as np
import torch
import torch.nn.functional as F
from datasets import load_dataset

tokenbender

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

tokenbender

/*
    Graph implementation following  tutorial http://www.geeksforgeeks.org/graph-and-its-representations/
*/
#include<iostream>
#include<cstdlib>
using namespace std;

//struct for an adjacency list node
struct AdjListNode{
    int data;

tokenbender

/* AVL Tree Implementation in C++   */
/* Harish R                         */


#include<iostream>

using namespace std;

class BST
{

tokenbender

#include <iostream>
#include <math.h>
using namespace std;

template <class T>
struct Node {
    T value;
    Node *left;
    Node *right;

tokenbender

#include <iostream>

using namespace std;


struct node{
	int value;
	node *left;
	node *right;
};

tokenbender

#include <cstring>

class Disjoint_Union
{
public:
	Disjoint_Union(const int & n);
	int create();
	void merge(int i , int j);
	int find(const int & i);
	int size(){