NordicoDin-13st

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.

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.

jordan-brough

#!/usr/bin/env bash

# Source: https://gist.github.com/jordan-brough/48e2803c0ffa6dc2e0bd
# See also: https://stackoverflow.com/a/25095062/58876

# Download this script as "git-recent" (no extension), chmod it to be executable and put it in your
# path somewhere (e.g. /usr/bin). You can then use it via `git recent` from inside any git repo.

# Examples:

baymaxium

原文：Linux中国

软件的性能分析，往往需要查看 CPU 耗时，了解瓶颈在哪里。火焰图（flame graph）是性能分析的利器。本文介绍它的基本用法。

-- 阮一峰

本文导航

Liam0205

1. 打开开始菜单
2. 搜索 PowerShell，并以管理员身份运行。
3. 在弹出的窗口当中点击「是」。
4. 贴入命令 irm https://massgrave.dev/get | iex，然后敲击回车键。它会联网下载激活工具。
5. 在弹出的新窗口当中，输入 1 以激活 Windows；输入 2 以激活 Office。

flungo

#!/bin/bash
for d in $(find /sys/kernel/iommu_groups/ -type l | sort -n -k5 -t/); do 
    n=${d#*/iommu_groups/*}; n=${n%%/*}
    printf 'IOMMU Group %s ' "$n"
    lspci -nns "${d##*/}"
done;