Matthew Lem mlem8

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.

A Short IPv6 Guide for Home IPv4 Admins

This guide is for homelab admins who understand IPv4s well but find setting up IPv6 hard or annoying because things work differently. In some ways, managing an IPv6 network can be simpler than IPv4, one just needs to learn some new concepts and discard some old ones.

Let’s begin.

First of all, there are some concepts that one must unlearn from ipv4:

Concept 1

Pure ESM package

The package that linked you here is now pure ESM. It cannot be require()'d from CommonJS.

This means you have the following choices:

Use ESM yourself. (preferred)
Use import foo from 'foo' instead of const foo = require('foo') to import the package. You also need to put "type": "module" in your package.json and more. Follow the below guide.
If the package is used in an async context, you could use await import(…) from CommonJS instead of require(…).
Stay on the existing version of the package until you can move to ESM.

	# train_grpo.py
	#
	# See https://github.com/willccbb/verifiers for ongoing developments
	#
	"""
	citation:

	@misc{brown2025grpodemo,
	title={Granular Format Rewards for Eliciting Mathematical Reasoning Capabilities in Small Language Models},
	author={Brown, William},

	You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

	## Core Principles

	1. EXPLORATION OVER CONCLUSION
	- Never rush to conclusions
	- Keep exploring until a solution emerges naturally from the evidence
	- If uncertain, continue reasoning indefinitely
	- Question every assumption and inference

	/* Using a JavaScript proxy for a super low code REST client */
	// via https://dev.to/dipsaus9/javascript-lets-create-aproxy-19hg
	// also see https://towardsdatascience.com/why-to-use-javascript-proxy-5cdc69d943e3
	// also see https://github.com/fastify/manifetch
	// also see https://github.com/flash-oss/allserver
	// and https://gist.github.com/v1vendi/75d5e5dad7a2d1ef3fcb48234e4528cb

	const createApi = (url) => {
	return new Proxy({}, {
	get(target, key) {

	import numpy as np

	def sigmoid(x):
	return 1 / (1 + np.exp(-x))

	def neural_network(X, y):
	learning_rate = 0.1
	W1 = np.random.rand(2, 4)
	W2 = np.random.rand(4, 1)

	# MIT No Attribution
	#
	# Copyright 2022 Ben Kehoe
	#
	# Permission is hereby granted, free of charge, to any person obtaining a copy of this
	# software and associated documentation files (the "Software"), to deal in the Software
	# without restriction, including without limitation the rights to use, copy, modify,
	# merge, publish, distribute, sublicense, and/or sell copies of the Software, and to
	# permit persons to whom the Software is furnished to do so.
	#

	#!/usr/bin/env bash
	AWS_CLI="aws --region $AWS_REGION"

	PRICE=0.2
	USER_NAME=#USERNAME#
	KEY_NAME=#KEY NAME#
	SECURITY_GROUP_ID=#SECURITY GROUP#
	SUBNET_ID=#SUBNET#
	VOLUME_SIZE=40
	INSTANCE_TYPE=t2.2xlarge

	Get-Command # Retrieves a list of all the commands available to PowerShell
	# (native binaries in $env:PATH + cmdlets / functions from PowerShell modules)
	Get-Command -Module Microsoft* # Retrieves a list of all the PowerShell commands exported from modules named Microsoft*
	Get-Command -Name *item # Retrieves a list of all commands (native binaries + PowerShell commands) ending in "item"

	Get-Help # Get all help topics
	Get-Help -Name about_Variables # Get help for a specific about_* topic (aka. man page)
	Get-Help -Name Get-Command # Get help for a specific PowerShell function
	Get-Help -Name Get-Command -Parameter Module # Get help for a specific parameter on a specific command