karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

simon04

JetBrains Fleet 1.28.106

Next-generation IDE by JetBrains

https://www.jetbrains.com/fleet/

https://www.jetbrains.com/fleet/download/

https://blog.jetbrains.com/fleet/2023/12/fleet-1-28-is-now-available-with-ai-assistant-improvements-to-the-i-run-and-debug-i-tool-and-other-updates/

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

younesbelkada

# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

noobnooc

// Website you intended to retrieve for users.
const upstream = 'api.openai.com'

// Custom pathname for the upstream website.
const upstream_path = '/'

// Website you intended to retrieve for users using mobile devices.
const upstream_mobile = upstream

// Countries and regions where you wish to suspend your service.

Envek

# spec/system/support/login_helpers.rb
# See this blog post for setup guide: https://evilmartians.com/chronicles/system-of-a-test-setting-up-end-to-end-rails-testing

module LoginHelpers
  def login_as(user)
    # Craft session cookie to make request authenticated (to pass even routing constraints)
    # Compilation of these:
    #  - https://dev.to/nejremeslnici/migrating-selenium-system-tests-to-cuprite-42ah#faster-signin-in-tests
    #  - https://turriate.com/articles/2011/feb/how-to-generate-signed-rails-session-cookie
    #  - https://github.com/rails/rails/blob/43e29f0f5d54294ed61c31ddecdf76c2e1a474f7/actionpack/test/dispatch/cookies_test.rb#L350

jiz4oh

# 基础引擎框架配置，patch 会更新 default.yaml 文件

patch:
  schema_list:
    - schema: double_pinyin_flypy
    - schema: luna_pinyin_simp
  switcher/hotkeys:
    # 切换选项菜单的快捷键
    - "Alt+Shift+grave"       
    - "Control+grave"       

LoggeL

const puppeteer = require('puppeteer')
const fs = require('fs');
// Hardcoded for 200 shapes
(async () => {
    const browser = await puppeteer.launch({ headless: true })
    const page = await browser.newPage()
    await page.goto('https://ondras.github.io/primitive.js/', { waitUntil: 'networkidle0' })

    const files = fs.readdirSync('img') // Input Folder
    for (let i = 0; i < files.length; i++) {

y0ngb1n

Docker Hub 镜像加速器

国内从 Docker Hub 拉取镜像有时会遇到困难，此时可以配置镜像加速器。

Dockerized 实践 https://github.com/y0ngb1n/dockerized

1️⃣ Docker daemon 配置代理（推荐）

参考 Docker daemon 配置代理

dongyuwei

convert -resize '368x268!'  -delay 50 *.png  animation.gif
gifsicle --colors 256  animation.gif  --no-loopcount > animation2.gif
gifsicle -O3 --lossy=80 animation2.gif  -o animation3.gif