Jason Morganson jasonmorganson

`$HOME`, Not So Sweet `$HOME`

Preface
1 What is $HOME to you?
2 Setup
- 2.1 Linux
2.1.4 xdg-user-dirs

Ad-free Twitter

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

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  display: none;
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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:

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.

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.

About

Highly Experimental

If you are using this already, consider changes soon due the discussion around current ESX proposal.

Feel free to keep an eye on udomsay as that will be the implementation reference for consumers.

	// 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!!

	{

	"""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

	# 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()

	// This Zellij config offers a more modal experience than the default. There are
	// very few keybindings in the mode that you spend most of your time in, and we
	// need to hit `C-space` to go into a mode where we navigate.

	// The only keybindings in the normal mode are:
	// - `C-space` to go into the tmux mode
	// - `C-n` for a new pane
	// - `C-t` for a new tab
	// - `A-[` & `A-]` to go to the previous/next tab
	// - `S-arrow` to navigate between panes