The problem with large language models is that you can’t run these locally on your laptop. Thanks to Georgi Gerganov and his llama.cpp project, it is now possible to run Meta’s LLaMA on a single computer without a dedicated GPU.
There are multiple steps involved in running LLaMA locally on a M1 Mac after downloading the model weights.
| FROM node:16-alpine | |
| WORKDIR /front-app | |
| COPY package*.json ./ | |
| RUN npm install | |
| # Mentioned exposed port for documentation | |
| EXPOSE 4200 |
| const std = @import("std"); | |
| // primitive of the event loop. | |
| // Ctx is typically a pointer to *This and data a pointer to the Users data. | |
| // destroyData is called after the event has finished and must clean up the event to avoid leaks. | |
| const Event = struct { | |
| ctx: *anyopaque, | |
| data: *anyopaque, | |
| name: []const u8, | |
| destroyData: *const fn (*anyopaque, *anyopaque) void, |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Canvas Game</title> | |
| <style> | |
| canvas { | |
| border: 1px solid black; | |
| } |
This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.
On March 29th, 2024, a backdoor was discovered in xz-utils, a suite of software that
| var mediaJSON = { "categories" : [ { "name" : "Movies", | |
| "videos" : [ | |
| { "description" : "Big Buck Bunny tells the story of a giant rabbit with a heart bigger than himself. When one sunny day three rodents rudely harass him, something snaps... and the rabbit ain't no bunny anymore! In the typical cartoon tradition he prepares the nasty rodents a comical revenge.\n\nLicensed under the Creative Commons Attribution license\nhttp://www.bigbuckbunny.org", | |
| "sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4" ], | |
| "subtitle" : "By Blender Foundation", | |
| "thumb" : "images/BigBuckBunny.jpg", | |
| "title" : "Big Buck Bunny" | |
| }, | |
| { "description" : "The first Blender Open Movie from 2006", | |
| "sources" : [ "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/ElephantsDream.mp4" ], |
| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
| <title>Canvas Game</title> | |
| <style> | |
| canvas { | |
| border: 1px solid black; | |
| } |
| #!/bin/bash | |
| # | |
| # script to fully prepare ImageNet dataset | |
| ## 1. Download the data | |
| # get ILSVRC2012_img_val.tar (about 6.3 GB). MD5: 29b22e2961454d5413ddabcf34fc5622 | |
| # wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_val.tar | |
| # get ILSVRC2012_img_train.tar (about 138 GB). MD5: 1d675b47d978889d74fa0da5fadfb00e | |
| # wget https://image-net.org/data/ILSVRC/2012/ILSVRC2012_img_train.tar |
