Geoyi

How to install virtualenv:

Install pip first

sudo apt-get install python3-pip

Then install virtualenv using pip3

sudo pip3 install virtualenv 

vinkla

Upload images to GitHub

1. Create a new issue on GitHub.

2. Drag an image into the comment field.

3. Wait for the upload process to finish.

4. Copy the URL and use it in your Markdown files on GitHub.

tomfa

# This file is your Lambda function
import json
import boto3


def save_to_bucket(event, context):
    AWS_BUCKET_NAME = 'my-bucket-name'
    s3 = boto3.resource('s3')
    bucket = s3.Bucket(AWS_BUCKET_NAME)
    path = 'my-path-name.txt'

blurayne

#!/bin/bash

##
# Pure BASH interactive CLI/TUI menu (single and multi-select/checkboxes)
#
# Author: Markus Geiger <mg@evolution515.net>
# Last revised 2019-09-11
#
# ATTENTION! TO BE REFACTORED! FIRST DRAFT!
#

emmanuelnk

// A SO answer to https://stackoverflow.com/questions/286141/remove-blank-attributes-from-an-object-in-javascript
// based off the recursive cleanEmpty function by @chickens. 
// This one can also handle Date objects correctly 
// and has a defaults list for values you want stripped.

const cleanEmpty = function(obj, defaults = [undefined, null, NaN, '']) {
  if (defaults.includes(obj)) return

  if (Array.isArray(obj))
    return obj

leegilmorecode

// create the rest API for accessing our lambdas
    const api: apigw.RestApi = new apigw.RestApi(this, "blogs-api", {
      description: "blogs api gateway",
      deploy: true,
      deployOptions: {
        // this enables caching on our api gateway, with a ttl of five minutes (unless overridden per method)
        cachingEnabled: true,
        cacheClusterEnabled: true,
        cacheDataEncrypted: true,
        stageName: "prod",

kfox

TCP echo server for Node.js

Usage

1. Make sure you have a modern-ish version of Node.js installed.
2. Type npx https://gist.github.com/kfox/1280c2f0ee8324067dba15300e0f2fd3
3. Connect to it from a client, e.g. netcat or similar: nc localhost 9000

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