dan-palmer

{
  "messages": [
    {
      "content": "You are an advanced, reliable, candid AI system that takes user search queries, converts them into questions, and answers them, using specific facts and details sourced from webpages to prove your answer. You admit when you're unsure or don't know, and you never make a statement without providing a fact or instance to back it up. You answer questions directly and clearly, then provide more detail later. You follow the JSON schema exactly.",
      "role": "system"
    },
    {
      "content": "# CONTEXT\nCurrent date: #{DATE_TIME}.\n\nHere are result  from a web search for '#{QUERY}':\nBEGIN WEB PAGE #{HOST_1} #{MARKDOWN_1}END WEB PAGE\nBEGIN WEB PAGE #{HOST_2} #{MARKDOWN_2}END WEB PAGE\nBEGIN WEB PAGE #{HOST_3} #{MARKDOWN_3}END WEB PAGE\nBEGIN WEB PAGE #{HOST_4} #{MARKDOWN_4}END WEB PAGE\nBEGIN WEB PAGE #{HOST_5} #{MARKDOWN_5}END WEB PAGE\nBEGIN WEB PAGE #{HOST_6} #{MARKDOWN_6}END WEB PAGE",
      "role": "system"
    },

veekaybee

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

yanivmn

	Aerobase	Keycloak	WSO2 Identity Server	Gluu	CAS	OpenAM	Shibboleth IdP
OpenID Connect/OAuth support	yes	yes	yes	yes	yes	yes	third-party
Multi-factor authentication	yes	yes	yes	yes	yes	yes	yes
Admin UI	yes	yes	yes	yes	yes	yes	no
OpenJDK support	yes	yes	yes			yes	no
Identity brokering	yes	yes	yes
Middleware	NGINX, Wildfly	Wildfly, JBOSS	WSO2 Carbon	Jetty, Apache HTTPD	any Java app server	any Java app server	Jetty, Tomc

DusanMadar

A step-by-step guide how to use Python with Tor and Privoxy

Latest revision: 2021-12-05.

Tested on Ubuntu 18.04 Docker container. The Dockerfile is a single line FROM ubuntu:18.04. Alternatively, you can simply run docker run -it ubuntu:18.04 bash.

NOTE: stopping services didn't work for me for some reason. That's why there is kill $(pidof <service name>) after each failed service <service name> stop to kill it.

References

sanchezzzhak

SELECT table,
    formatReadableSize(sum(bytes)) as size,
    min(min_date) as min_date,
    max(max_date) as max_date
    FROM system.parts
    WHERE active
GROUP BY table

feix

var CryptoJS = require('crypto-js')
var request = require('request-promise')

/*
 * npm install crypto-js request-promise request
 * node wx_t1t_hack.js
 */

// export function testEncription(msg, fullKey) {
//   var fullKey = fullKey.slice(0, 16)

oliveratgithub

{
	"emojis": [
		{"emoji": "👩‍👩‍👧‍👧", "name": "family: woman, woman, girl, girl", "shortname": ":woman_woman_girl_girl:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F467", "html": "👩‍👩‍👧‍👧", "category": "People & Body (family)", "order": ""},
		{"emoji": "👩‍👩‍👧‍👦", "name": "family: woman, woman, girl, boy", "shortname": ":woman_woman_girl_boy:", "unicode": "1F469 200D 1F469 200D 1F467 200D 1F466", "html": "👩‍👩‍👧‍👦", "category": "People & Body (family)", "order": ""},
		{"emoji": "👩‍👩‍👦‍👦", "name": "family: woman, woman, boy, boy", "shortname": ":woman_woman_boy_boy:", "unicode": "1F469 200D 1F469 200D 1F466 200D 1F466", "html": "👩‍👩‍👦‍👦", "category": "People & Body (family)", "order": ""},
		{"emoji": "👨‍👩‍👧‍👧", "name": "family: man, woman, girl, girl", "shortname": ":man_woman_girl_girl:", "unicode": "1F468 200D 1F469 200D 1F467 200D 1F467", "html": "👨‍👩&z

overtrue

// 1. 使用 chrome 打开 weibo.com （确保你登录了微博）
// 2. 打开调试窗口，在 console 中贴下面的代码后回车
// 数据来自：https://github.com/yu961549745/WeiboBlackList


let dogs = [ 5471246591, 5209943797, 1709070650, 1887921907, 1824515351, 6031549751, 3477430640, 5303365027, 2397004535, 5014141958, 2357033797, 2253196910, 1282371413, 5433169859, 5577097996, 2477460747, 5791757379, 3973075219, 5480191060, 5064046310, 1794010902, 5241254653, 1775613335, 1749775825, 2898929101, 1766122373, 5330205046, 5836217079, 2143736030, 5088125436, 2122838230, 2379528185, 5768433920, 1588830357, 2734746975, 1702267517, 3305446403, 1922854483, 2240459775, 1713064495, 3141318761, 3049734521, 1297708027, 1670201221, 1113091931, 2682353630, 1889031894, 5736617825, 5573535479, 1787098822, 5474940961, 2647495542, 1978558182, 5675487085, 2066669447, 1410124131, 3318338712, 5117947348, 5984813988, 1935760780, 2106405744, 1658278557, 3123751063, 2418980745, 5612086708, 2822792580, 2728966594, 5651704821, 3174983660, 2884830430, 1409910532, 5289026864, 5460203843, 30409

guzmanbraso

#!/bin/bash
# This script will clean executions older than a given amount of days ($DAYS) but will keep at least $KEEP executions.
# Based on @unicolet gist that keeps last 30 exec of each job ( https://gist.github.com/unicolet/af648a97163ce6b44645 )
# Taken from @lucabusin the workflow tables cleaning code ( https://gist.github.com/lucabusin/cad36a45764f2fc2e2daa81e2db4186d )
# setup ~/.mycnf or ~/.pgpass to allow passwordless connection to mysql/postgres
# Comment / Uncomment below to use postgres or mysql.

# Days to keep executions.
DAYS=90
# Minimum Amount to Keep

alexey-milovidov

milovidov@milovidov-xenial:~$ clickhouse-client 
ClickHouse client version 1.1.53996.
Connecting to localhost:9000.
Connected to ClickHouse server version 1.1.53996.

:) CREATE TABLE IF NOT EXISTS `employee` (
:-]   `empid` Int32,
:-]   `deptid` Int32,
:-]   `salary` Int64
:-] ) ENGINE = Memory;