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#!/usr/bin/python | |
''' | |
A Simple mjpg stream http server for the Raspberry Pi Camera | |
inspired by https://gist.github.com/n3wtron/4624820 | |
''' | |
from BaseHTTPServer import BaseHTTPRequestHandler,HTTPServer | |
import io | |
import time | |
import picamera |
# ipak function: install and load multiple R packages. | |
# check to see if packages are installed. Install them if they are not, then load them into the R session. | |
ipak <- function(pkg){ | |
new.pkg <- pkg[!(pkg %in% installed.packages()[, "Package"])] | |
if (length(new.pkg)) | |
install.packages(new.pkg, dependencies = TRUE) | |
sapply(pkg, require, character.only = TRUE) | |
} |
#!/bin/bash | |
# tmux requires unrecognized OSC sequences to be wrapped with DCS tmux; | |
# <sequence> ST, and for all ESCs in <sequence> to be replaced with ESC ESC. It | |
# only accepts ESC backslash for ST. | |
function print_osc() { | |
if [[ -n $TERM ]] ; then | |
printf "\033Ptmux;\033\033]" | |
else | |
printf "\033]" |
license: mit |
license: gpl-3.0 | |
height: 2910 | |
border: no | |
redirect: https://observablehq.com/@d3/d3-calendar-view |
7 | |
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1 | |
0 | |
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4 | |
9 | |
5 | |
9 |
이 문서가 여기저기 알려짐에 따라, 이곳에 여러가지 댓글이 달리고 있습니다. 개인적으로는 댓글창을 없애버리고 싶지만 그럴 수 없는 터라, 댓글을 달기 전에 한번씩만 더 생각해주셨으면 합니다.
- 개인적인 감상은 이곳이 아닌 다른 곳에 적어주세요.
- 동성애 혐오적인 댓글을 달지 마세요.
- 기타 "난해한 혀엉... 언어"와 관련없는 댓글을 달지 말아주세요.
위 사항들을 포함해 제 마음에 안 드는 댓글들은 임의로 삭제하고 있습니다. 양해 부탁드립니다.
Audience: I assume you heard of chatGPT, maybe played with it a little, and was imressed by it (or tried very hard not to be). And that you also heard that it is "a large language model". And maybe that it "solved natural language understanding". Here is a short personal perspective of my thoughts of this (and similar) models, and where we stand with respect to language understanding.
Around 2014-2017, right within the rise of neural-network based methods for NLP, I was giving a semi-academic-semi-popsci lecture, revolving around the story that achieving perfect language modeling is equivalent to being as intelligent as a human. Somewhere around the same time I was also asked in an academic panel "what would you do if you were given infinite compute and no need to worry about labour costs" to which I cockily responded "I would train a really huge language model, just to show that it doesn't solve everything!". We
""" | |
This is a batched LSTM forward and backward pass | |
""" | |
import numpy as np | |
import code | |
class LSTM: | |
@staticmethod | |
def init(input_size, hidden_size, fancy_forget_bias_init = 3): |