rmtbb

#!/bin/bash

# Define the main export folder
export_folder=~/Desktop/iMessages_Export
mkdir -p "$export_folder"

# Part 1: Generate the CSV file
echo "Generating CSV file..."

sqlite3 ~/Library/Messages/chat.db <<EOF

cpursley

PostgreSQL is Enough

• Simplify: move code into database functions
• Just Use Postgres for Everything
• Just use Postgres
• PostgreSQL is the worlds’ best database
• Postgres is eating the database world
• Hacker News discussion

Background and Cron Jobs

sharadhr

$HOME, Not So Sweet $HOME

• Preface
• 1 What is $HOME to you?
• 2 Setup
  • 2.1 Linux
    • 2.1.1 $HOME
    • 2.1.2 Dot-files and dot-directories
    • 2.1.3 XDG Base Directories
• 2.1.4 xdg-user-dirs

hyperupcall

// I'm tired of extensions that automatically:
// - show welcome pages / walkthroughs
// - show release notes
// - send telemetry
// - recommend things
//
// This disables all of that stuff.
// If you have more config, leave a comment so I can add it!!

{

cmoog

Ad-free Twitter

Inject this css snippet to remove all ads from your Twitter timeline.

div[data-testid="placementTracking"]:has(path[d="M19.498 3h-15c-1.381 0-2.5 1.12-2.5 2.5v13c0 1.38 1.119 2.5 2.5 2.5h15c1.381 0 2.5-1.12 2.5-2.5v-13c0-1.38-1.119-2.5-2.5-2.5zm-3.502 12h-2v-3.59l-5.293 5.3-1.414-1.42L12.581 10H8.996V8h7v7z"]) {
  display: none;
}

kconner

macOS Internals

Understand your Mac and iPhone more deeply by tracing the evolution of Mac OS X from prelease to Swift. John Siracusa delivers the details.

Starting Points

How to use this gist

You've got two main options:

ninely

"""This is an example of how to use async langchain with fastapi and return a streaming response.
The latest version of Langchain has improved its compatibility with asynchronous FastAPI,
making it easier to implement streaming functionality in your applications.
"""
import asyncio
import os
from typing import AsyncIterable, Awaitable

import uvicorn
from dotenv import load_dotenv

VictorTaelin

Notes on this tweet.

• The screenshots were taken on different sessions.

• The entire sessions are included on the screenshots.

• I lost the original prompts, so I had to reconstruct them, and still managed to reproduce.

• The "compressed" version is actually longer! Emojis and abbreviations use more tokens than common words.

rain-1

Purpose

Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.

Avoid being a link dump. Try to provide only valuable well tuned information.

Prelude

Neural network links before starting with transformers.

hwchase17

# STEP 1: Load

# Load documents using LangChain's DocumentLoaders
# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html

from langchain.document_loaders.csv_loader import CSVLoader
loader = CSVLoader(file_path='./example_data/mlb_teams_2012.csv')
data = loader.load()