| """ To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory | |
| git clone https://github.com/myshell-ai/OpenVoice | |
| cd OpenVoice | |
| git clone https://huggingface.co/myshell-ai/OpenVoice | |
| cp -r OpenVoice/* . | |
| pip install whisper pynput pyaudio | |
| """ | |
| from openai import OpenAI | |
| import time |
| // ==UserScript== | |
| // @name Hacker News Story Rank Change Indicator | |
| // @namespace http://tampermonkey.net/ | |
| // @version 2024-09-07_15-42 | |
| // @description Indicate the new stories and stories moving up/down on the front page | |
| // @author SMUsamaShah | |
| // @match https://news.ycombinator.com/ | |
| // @match https://news.ycombinator.com/news | |
| // @match https://news.ycombinator.com/news?p=* | |
| // @match https://news.ycombinator.com/?p=* |
| #!/usr/bin/env -S bash -c "docker run -p 8080:8080 -it --rm \$(docker build --progress plain -f \$0 . 2>&1 | tee /dev/stderr | grep -oP 'sha256:[0-9a-f]*')" | |
| # syntax = docker/dockerfile:1.4.0 | |
| FROM node:20 | |
| WORKDIR /root | |
| RUN npm install sqlite3 |
| # 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 |
The upcoming price increase for the Reddit API has resulted in the developers of many third-party Reddit apps to announce plans to shut down their apps on June 30. Many have encouraged these developers to update their apps to use a different server. Until 2017, the source code for Reddit and its API were open source, and this code is still available as an archive.
This open source version of Reddit lacks some features from the
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.
Presented by Evadne Wu at Code BEAM Lite in Stockholm, Sweden on 12 May 2023
We have celebrated 10 years of Elixir and also nearly 25 years of Erlang since the open source release in December 1998.
Most of the libraries that were needed to make the ecosystem viable have been built, talks given, books written, conferences held and training sessions provided. A new generation of companies have been built on top of the Elixir / Erlang ecosystem. In all measures, we have achieved further reach and maturity than 5 years ago.
Yoav Goldberg, April 2023.
With the release of the ChatGPT model and followup large language models (LLMs), there was a lot of discussion of the importance of "RLHF training", that is, "reinforcement learning from human feedback". I was puzzled for a while as to why RL (Reinforcement Learning) is better than learning from demonstrations (a.k.a supervised learning) for training language models. Shouldn't learning from demonstrations (or, in language model terminology "instruction fine tuning", learning to immitate human written answers) be sufficient? I came up with a theoretical argument that was somewhat convincing. But I came to realize there is an additional argumment which not only supports the case of RL training, but also requires it, in particular for models like ChatGPT. This additional argument is spelled out in (the first half of) a talk by John Schulman from OpenAI. This post pretty much