Leo Ossa leoossa

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.

abseil-duration-addition

Check for cases where addition should be performed in the absl::Time domain. When adding two values, and one is known to be an absl::Time, we can infer that the other should be interpreted as an absl::Duration of a similar scale, and make that inference explicit.

Updated: Jun 17, 2022
Chromium: 102.0.5005.115 (Official Build) (64-bit) (cohort: Stable)
OS: Windows 10 Version 21H2 (Build 19044.1766)

Override software rendering list - `Enabled`

Overrides the built-in software rendering list and enables GPU-acceleration on unsupported system configurations. – Mac, Windows, Linux, Chrome OS, Android

List of Chromium Command Line Switches

There are lots of command lines which can be used with the Google Chrome browser. Some change behavior of features, others are for debugging or experimenting. This page lists the available switches including their conditions and descriptions. Last automated update occurred on 2018-10-20.

Condition

Explanation

--

Report pseudo allocation traces. Pseudo traces are derived from currently active trace events.

--/prefetch:1

/prefetch:# arguments to use when launching various process types. It has been observed that when file reads are consistent for 3 process launches with the same /prefetch:# argument, the Windows prefetcher starts issuing reads in batch at process launch. Because reads depend on the process type, the prefetcher wouldn't be able to observe consistent reads if no /prefetch:# arguments were used. Note that the browser process has no /prefetch:# argument; as such a

Software Transactional Memory in C++: pure functional approach (Tutorial)

In this article I’ll tell you about my pure functional library for Software Transactional Memory (STM) that I’ve built in C++. I adopted some advanced functional programming concepts that make it composable and convenient to use. Its implementation is rather small and robust, which differentiates the library from competitors. Let’s discuss what STM is and how to use it.

Intro
Links
Software Transactional Memory
STM basics
Composable transactions
Dining Philosophers: The task

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

What's an Effective Engineer?

Linux Laptops

Find Laptops

/r/SuggestALaptop
/r/linuxhardware
noteb.com
productchart
notebookcheck
notebookreview

	// These instructions for exporting Netflix's My List, Watch History, and Ratings worked for each profile on August 4, 2019.

	// 1) Go to https://www.netflix.com/browse/my-list and use https://addons.mozilla.org/firefox/addon/netflix-list-exporter/ to copy.

	// 2) Go to https://help.netflix.com/en/node/101917 and follow instructions to download CSV of Watch History.

	// 3) Use the snippet below in the browser's console at https://www.netflix.com/MoviesYouveSeen, then copy and paste to wherever you wish.
	// Code was altered from https://www.coollector.com/netflix_import.html, but I haven't ever used their software.

	// 4) Go to https://www.netflix.com/cancelplan and cancel (if that's why you're doing all this):

	for (var arrScripts = document.getElementsByTagName('script'), i = 0; i < arrScripts.length; i++) {
	if (arrScripts[i].textContent.indexOf('externalId') != -1) {
	var channelId = arrScripts[i].textContent.match(/\"externalId\"\s\:\s\"(.*?)\"/)[1];
	var channelRss = 'https://www.youtube.com/feeds/videos.xml?channel_id=' + channelId;
	var channelTitle = document.title.match(/\(?\d\)?\s?(.?)\s\-\sYouTube/)[1];
	console.log('The rss feed of the channel \'' + channelTitle + '\' is:\n' + channelRss);
	break;
	}
	}

	var textColor = function (bgColor) {
	var r = bgColor.r * 255,
	g = bgColor.g * 255,
	b = bgColor.b * 255;
	var yiq = (r * 299 + g * 587 + b * 114) / 1000;
	return (yiq >= 128) ? 'black' : 'white';
	}