Yoshio Sugiyama IMOKURI

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.

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

この○○が金やちやほやされるために技術ブログを書いていると思っているのかァーッ！！

技術ブログを書いていることをアフェリエイト目的とか、PV目的だとか言われた時に。

なるほど完璧な開発プロセスっスねーーーっ不可能だという点に目をつぶればよぉ〜

一見完璧に聞こえるけど、どう考えたって上手く回らない開発プロセスの説明を受けた時に。

理解不能理解不能・・・あ、理解可能

ようやく理解できた時に。

お前は1つの修正が終わったらキチっとコミットしてから次の修正に入るだろう？　誰だってそーする。俺もそーする。

概要

ネットーワーク機器のマーケ担当をしてる妻から聞いた、Wi-Fiルータのオススメ（「同僚のメーカー担当ごとに己の”最強”を選んでもらった」とのこと）です
「ルーターにはWi-Fiルータだけじゃなく他にもいろいろあるんだよ！これはWi-Fiルータのことね」と言われたのでタイトルを変えました
「AXほにゃらら」は規格（AX = Wi-Fi 6）+速度の参考値とのことです
もともとの文脈: 家庭内の雑談をツイートしたところ（ https://twitter.com/__gfx__/status/1464084908091920387 ）知人が反応したので妻に「ルータのおすすめ教えてと知人がいってるのでなんか教えて」といって教えてもらったのが元です
下にあるv1.md が最初のやつ（2021/11/26）で、このv2.md がホッテントリ入りしたあとの改訂版（2021/11/27）です

追記（2022/05/24）:

TP-Linkはちょいちょいやらかしがあります

How to use Tailwind CSS with Pelican

These steps show how to install Tailwind CSS in a Pelican project, purge and minify it so you don't have to reference a 3+ MB CSS file but only several kB.

virtualenv venv
. venv/bin/activate
pip install nodeenv
nodeenv env
. env/bin/activate
npm install postcss postcss-cli autoprefixer tailwindcss purgecss cssnano

My Machine Learning Competition History

Kaggle

2020年

Mechanisms of Action (MoA) Prediction
- My solution Public 214th, Private 530th / 4373 (Top 13%)

	# 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

	# 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

	--
	-- Move this file to your neovim lua runtime path ie. ~/.config/nvim/lua/au.lua
	--
	local cmd = vim.api.nvim_command

	local function autocmd(this, event, spec)
	local is_table = type(spec) == 'table'
	local pattern = is_table and spec[1] or '*'
	local action = is_table and spec[2] or spec
	if type(action) == 'function' then