amb

## normcore-llm.md

      
              1 file
            
          
              211 forks
            
          
              38 comments
            
          
              2736 stars
            
          
                veekaybee
                / normcore-llm.md
            
            
              Last active
              May 26, 2024 16:51
            
              
                Normcore LLM Reads
              
          
    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


## cuda_11.8_installation_on_Ubuntu_22.04
#!/bin/bash

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###

### to verify your gpu is cuda enable check

## test.gd
extends Node
# Based on this tweet by Clay John:
# https://twitter.com/john_clayjohn/status/1306447928932753408


func _ready() -> void:

	# Create a local rendering device.
	var rd := RenderingServer.create_local_rendering_device()


## understanding-word-vectors.ipynb

      
              1 file
            
          
              349 forks
            
          
              51 comments
            
          
              1438 stars
            
          
                aparrish
                / understanding-word-vectors.ipynb
            
            
              Last active
              May 22, 2024 14:36
            
              
                Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
              
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## OpenSimplex2S.java
/**
 * K.jpg's OpenSimplex 2, smooth variant ("SuperSimplex")
 *
 * More language ports, as well as legacy 2014 OpenSimplex, can be found here:
 * https://github.com/KdotJPG/OpenSimplex2
 */

public class OpenSimplex2S {

    private static final long PRIME_X = 0x5205402B9270C86FL;
	#!/bin/bash

	### steps ####
	# verify the system has a cuda-capable gpu
	# download and install the nvidia cuda toolkit and cudnn
	# setup environmental variables
	# verify the installation
	###

	### to verify your gpu is cuda enable check
	extends Node
	# Based on this tweet by Clay John:
	# https://twitter.com/john_clayjohn/status/1306447928932753408


	func _ready() -> void:

	# Create a local rendering device.
	var rd := RenderingServer.create_local_rendering_device()
	/**
	* K.jpg's OpenSimplex 2, smooth variant ("SuperSimplex")
	*
	* More language ports, as well as legacy 2014 OpenSimplex, can be found here:
	* https://github.com/KdotJPG/OpenSimplex2
	*/

	public class OpenSimplex2S {

	private static final long PRIME_X = 0x5205402B9270C86FL;