This is still a new situation. There is a lot we don't know. We don't know if there are more possible exploit paths. We only know about this one path. Please update your systems regardless.
This is a living document. Everything in this document is made in good faith of being accurate, but like I just said; we don't yet know everything about what's going on.
Want to inject some flavor into your everyday text chat? You're in luck! Discord uses Markdown, a simple plain text formatting system that'll help you make your sentences stand out. Here's how to do it! Just add a few characters before & after your desired text to change your text! I'll show you some examples...
What this guide covers:
In this list, I will be typically be talking SEO as it relates to Google because Google will likely account for the vast majority of your inbound search traffic. Additionally, if you rank highly on Google, you will probably do well on other search engines anyway. Just like in football if you could play in the Major league you would most likely kill it in the minor league I would begin by explaining why SEO is important talk a little bit about what SEO is about and talk about how those concepts relate to the world wide web. Then talk about some of the things you could do to optimize your site from top to bottom of a typical webpage.
| let | |
| nixpkgs-src = builtins.fetchTarball { | |
| # master of 2021-01-05. | |
| url = "https://github.com/NixOS/nixpkgs/archive/1a57d96edd156958b12782e8c8b6a374142a7248.tar.gz"; | |
| sha256 = "1qdh457apmw2yxbpi1biwl5x5ygaw158ppff4al8rx7gncgl10rd"; | |
| }; | |
| pkgs = import nixpkgs-src { | |
| config = { | |
| # allowUnfree may be necessary for some packages, but in general you should not need it. |
This worked on 14/May/23. The instructions will probably require updating in the future.
llama is a text prediction model similar to GPT-2, and the version of GPT-3 that has not been fine tuned yet. It is also possible to run fine tuned versions (like alpaca or vicuna with this. I think. Those versions are more focused on answering questions)
Note: I have been told that this does not support multiple GPUs. It can only use a single GPU.
It is possible to run LLama 13B with a 6GB graphics card now! (e.g. a RTX 2060). Thanks to the amazing work involved in llama.cpp. The latest change is CUDA/cuBLAS which allows you pick an arbitrary number of the transformer layers to be run on the GPU. This is perfect for low VRAM.
08737ef720f0510c7ec2aa84d7f70c691073c35d.
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| from peft import PeftModel | |
| import torch | |
| import os | |
| import argparse | |
| def get_args(): | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--base_model_name_or_path", type=str) |
Adopted from: F' Code and Style Guidelines, The Power of 10, NASA's Approach to Space-Proof Code
________ ___ _ ______ _____ ____ ____ _____ _ _ _____ _______ _ _
| ____\ \ / / | | | ____| __ \| _ \ / __ \ |_ _| \ | |/ ____|__ __|/\ | | | |
| |__ \ V /| |__| | |__ | |__) | |_) | | | |______| | | \| | (___ | | / \ | | | |
| __| > < | __ | __| | _ /| _ <| | | |______| | | . ` |\___ \ | | / /\ \ | | | |
| |____ / . \| | | | |____| | \ \| |_) | |__| | _| |_| |\ |____) | | |/ ____ \| |____| |____
|______/_/ \_\_| |_|______|_| \_\____/ \____/ |_____|_| \_|_____/ |_/_/ \_\______|______|This guide is based on several documentations