Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
esphome: | |
name: ld2410-esp32 | |
friendly_name: ld2410-esp32 | |
esp32: | |
board: esp32dev | |
framework: | |
type: arduino | |
# Enable logging |
<Form action="?/deleteTodo" let:submitting> | |
<input type="hidden" name="todoId" value={todo.id} /> | |
<button type="submit" disabled={submitting}>Delete</button> | |
</Form> |
// ==UserScript== | |
// @name Prevent link mangling on Google | |
// @namespace LordBusiness.LMG | |
// @match https://www.google.com/search | |
// @grant none | |
// @version 1.1 | |
// @author radiantly | |
// @description Prevent google from mangling the link when copying or clicking the link on Firefox | |
// ==/UserScript== |
javascript: Promise.all([import('https://unpkg.com/turndown@6.0.0?module'), import('https://unpkg.com/@tehshrike/readability@0.2.0'), ]).then(async ([{ | |
default: Turndown | |
}, { | |
default: Readability | |
}]) => { | |
/* Optional vault name */ | |
const vault = "Brain"; | |
/* Optional folder name such as "Clippings/" */ |
# further to https://urbandemographics.blogspot.com/2016/04/creating-tilted-and-stacked-maps-in-r.html, | |
# an sf-friendly approach. | |
library(sf) | |
nc <- st_read(system.file('shape/nc.shp', package = 'sf')) | |
plot(nc) | |
sm <- matrix(c(2, 1.2, 0, 1), 2, 2) |
Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
ActivityTweet | |
generic_activity_highlights | |
generic_activity_momentsbreaking | |
RankedOrganicTweet | |
suggest_activity | |
suggest_activity_feed | |
suggest_activity_highlights | |
suggest_activity_tweet |
### Disclaimer, | |
- datetime is not copied with the timezone difference. seems like the dates are saved in UTC so there will be difference with the datetime columns | |
--- | |
in this guide, | |
postgres username = "jep" | |
postgres password = "jepjep" |
library(drake) | |
library(dplyr) | |
library(purrr) | |
library(assertr) | |
library(tabulizer) | |
matrix_to_tbl <- function(data) { | |
data %>% | |
as.data.frame(stringsAsFactors = FALSE) %>% | |
janitor::clean_names() %>% |
#!/bin/sh | |
HCIATTACH=/usr/bin/hciattach | |
if grep -q "Pi 4" /proc/device-tree/model; then | |
BDADDR= | |
else | |
SERIAL=`cat /proc/device-tree/serial-number | cut -c9-` | |
B1=`echo $SERIAL | cut -c3-4` | |
B2=`echo $SERIAL | cut -c5-6` | |
B3=`echo $SERIAL | cut -c7-8` |