Vladimir Grichina vgrichina

Current WebSim prompts and main context. System/User/Assistant blocks denote different roles in the messages array for the API requests. Stuff in {} is either a file that's too big to be inserted directly, or an explanation.

From what I can see, WebSim is mostly "carried" by Claude's creativity.

Main prompt: main_prompt.txt - also check main_flow.txt to see how a complete request is made.
Edit prompt: edit_prompt.txt- used when right-click editing the element. Uses the currently selected model. I didn't manage to get the whole prompt with the examples, but most of it at least.
Fake LLM API prompt: api_prompt.txt - currently WebSim always uses Claude 3.5 Sonnet for this (from info on Discord).
Image rewriting prompt: image_gen_prompt.txt - also uses Claude (don't know what model). Not sure what image model is being used, probably some version SDXL (like SDXL Turbo and similar)

The temperature used is 1, at least for Claude.

58 bytes of CSS to look great nearly everywhere

When making this website, i wanted a simple, reasonable way to make it look good on most displays. Not counting any minimization techniques, the following 58 bytes worked well for me:

main {
  max-width: 38rem;
  padding: 2rem;
  margin: auto;
}

Diff output of two lldb commands

Setup

Copy the contents of the last snippet (lldbinit) from the gist page, and paste into your .lldbinit file. This makes the ksdiff macro known inside lldb.
Put file ksdiff.py in ~/.lldb/
sudo pip install temp
Restart Xcode debug session

Example

(lldb) ksdiff ;

These links no longer work. Springer have pulled the free plug.

Graduate texts in mathematics

duplicates = multiple editions

A Classical Introduction to Modern Number Theory, Kenneth Ireland Michael Rosen

Things that programmers don't know but should

(A book that I might eventually write!)

Gary Bernhardt

I imagine each of these chapters being about 2,000 words, making the whole book about the size of a small novel. For comparison, articles in large papers like the New York Times average about 1,200 words. Each topic gets whatever level of detail I can fit into that space. For simple topics, that's a lot of space: I can probably walk through a very basic, but working, implementation of the IP protocol.

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

General Background and Overview

Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
Models and Issues in Data Stream Systems
Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
[Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

	"""A simple implementation of a greedy transition-based parser. Released under BSD license."""
	from os import path
	import os
	import sys
	from collections import defaultdict
	import random
	import time
	import pickle

	SHIFT = 0; RIGHT = 1; LEFT = 2;

	#!/bin/sh

	while inotifywait -e modify $1; do
	gradle --daemon test
	done

	# to generate your dhparam.pem file, run in the terminal
	openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048