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

imthenachoman

Developing a GAS Powered Google Workspace Add-on And Launching It To The Marketplace

This guide will walk you through creating a public Google Workspace Add-on, and launching it in the Google Workspace Marketplace for as free as possible.

This guide was written as I developed and launched my first add-on: Nacho Auto Vacation for Gmail™.

Table of Contents

• About
• Before You Start

oneryalcin

# I couldn't get return generators from chains so I had to do a bit of low level SSE, Hope this is useful
# Probably you'll use another Vector Store instead of OpenSearch, but if you want to mimic what I did here, 
# please use the fork of `OpenSearchVectorSearch` in https://github.com/oneryalcin/langchain


import json
import os
import logging
from typing import List, Generator

python273

import os
os.environ["OPENAI_API_KEY"] = ""

from flask import Flask, Response, request
import threading
import queue

from langchain.chat_models import ChatOpenAI
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
from langchain.schema import AIMessage, HumanMessage, SystemMessage

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.

patrick-samy

import os
import sys
import openai
import os.path

from dotenv import load_dotenv
from pydub import AudioSegment

load_dotenv()
openai.api_key = os.getenv('OPENAI_API_KEY')

raysan5

In the last years I've been asked multiple times about the comparison between raylib and SDL libraries. Unfortunately, my experience with SDL was quite limited so I couldn't provide a good comparison. In the last two years I've learned about SDL and used it to teach at University so I feel that now I can provide a good comparison between both.

Hope it helps future users to better understand this two libraries internals and functionality.

Table of Content

• Introduction
• Library Design Comparison

MarkDana

How to install numpy on M1 Max, with the most accelerated performance (Apple's vecLib)? Here's the answer as of Dec 6 2021.

---

Steps

I. Install miniforge

So that your Python is run natively on arm64, not translated via Rosseta.

1. Download Miniforge3-MacOSX-arm64.sh, then
2. Run the script, then open another shell

$ bash Miniforge3-MacOSX-arm64.sh

shawwn

This was a response to a Hacker News comment asking me what I've been up to since 2010. I'm posting it here since HN rejects it with "that comment is too long." I suppose that's fair, since this ended up being something of an autobiography.

--

What happened after 2010?

devadvance

ffmpeg -ss $INPUT_START_TIME -t $LENGTH -i $INPUT_FILENAME \
-vf "fps=$OUTPUT_FPS,scale=$OUTPUT_WIDTH:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" \
-loop $NUMBER_OF_LOOPS $OUTPUT_FILENAME

# Change these placeholders:
# * $INPUT_START_TIME - number of seconds in the input video to start from.
# * $LENGTH - number of seconds to convert from the input video.
# * $INPUT_FILENAME - path to the input video.
# * $OUTPUT_FPS - ouput frames per second. Start with `10`.
# * $OUTPUT_WIDTH - output width in pixels. Aspect ratio is maintained.