git ls-files --sparse --full-name -z |
xargs -0 -I FILE -P 20 git log --date=iso-strict-local --format='%ad %>(14) %cr %<(5) %an %h ./FILE' -- FILE |
sort --general-numeric-sort
This lists the files and hashes for each git commit and file:
2021-12-05T13:32:32-06:00 1 year, 11 months ago Jacob Chapman cc91fa0 ./.gitattributes
2021-12-05T13:32:32-06:00 1 year, 11 months ago Jacob Chapman cc91fa0 ./.gitignore
| function fractalNoise(x, y, frequency, octaves, persistence = 0.5, lacunarity = 2) { | |
| let total = 0; | |
| let amplitude = 1; | |
| let maxValue = 0; // Used for normalizing result to 0.0 - 1.0 | |
| for (let i = 0; i < octaves; i++) { | |
| total += noise2D(x * frequency, y * frequency) * amplitude; | |
| maxValue += amplitude; | |
| amplitude *= persistence; | |
| frequency *= lacunarity; |
| # Clone llama.cpp | |
| git clone https://github.com/ggerganov/llama.cpp.git | |
| cd llama.cpp | |
| # Build it | |
| make clean | |
| LLAMA_METAL=1 make | |
| # Download model | |
| export MODEL=llama-2-13b-chat.ggmlv3.q4_0.bin |
| # coding=utf-8 | |
| # Copyright 2023 The HuggingFace Inc. team. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software |
Apologies for the snarky title, but there has been a huge amount of discussion around so called "Prompt Engineering" these past few months on all kinds of platforms. Much of it is coming from individuals who are peddling around an awful lot of "Prompting" and very little "Engineering".
Most of these discussions are little more than users finding that writing more creative and complicated prompts can help them solve a task that a more simple prompt was unable to help with. I claim this is not Prompt Engineering. This is not to say that crafting good prompts is not a difficult task, but it does not involve doing any kind of sophisticated modifications to general "template" of a prompt.
Others, who I think do deserve to call themselves "Prompt Engineers" (and an awful lot more than that), have been writing about and utilizing the rich new eco-system
| import openai # pip install openai | |
| import typer # pip install "typer[all]" | |
| from rich import print # pip install rich | |
| from rich.table import Table | |
| """ | |
| Webs de interés: | |
| - Módulo OpenAI: https://github.com/openai/openai-python | |
| - Documentación API ChatGPT: https://platform.openai.com/docs/api-reference/chat | |
| - Typer: https://typer.tiangolo.com |
| import trafilatura | |
| import feedparser | |
| import requests | |
| from bs4 import BeautifulSoup | |
| from feedgenerator import DefaultFeed, Enclosure | |
| API_URL = "https://api-inference.huggingface.co/models/facebook/bart-large-cnn" | |
| headers = {"Authorization": "Bearer HF_TOKEN"} |
| """ | |
| Built on top of this gist by @karpathy: | |
| https://gist.github.com/karpathy/00103b0037c5aaea32fe1da1af553355 | |
| stable diffusion dreaming over text prompts | |
| creates hypnotic moving videos by smoothly walking randomly through the sample space | |
| example way to run this script: | |
| $ python stable_diffusion_walk.py --prompts "['blueberry spaghetti', 'strawberry spaghetti']" --seeds 243,523 --name berry_good_spaghetti |
| """ | |
| stable diffusion dreaming | |
| creates hypnotic moving videos by smoothly walking randomly through the sample space | |
| example way to run this script: | |
| $ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry | |
| to stitch together the images, e.g.: | |
| $ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4 |