| """ 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 |
| #!/usr/bin/env bash | |
| function p() { | |
| jq -n \ | |
| --arg content "$*" \ | |
| '{ | |
| "model": "pplx-7b-online", | |
| "messages": [ | |
| { | |
| "role": "system", | |
| "content": "Be precise and concise." |
| # 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() |
| Using asdf, we can install specific arm64 version of terraform cli for m1 macs | |
| 1. Open your terminal and run this | |
| ```sh | |
| git clone https://github.com/asdf-vm/asdf.git ~/.asdf | |
| ``` | |
| 2. Add asdf plugin to your .zshrc config | |
| ```sh |
This is a collection of the things I believe about software development. I have worked for years building backend and data processing systems, so read the below within that context.
Agree? Disagree? Feel free to let me know at @JanStette.
Keep it simple, stupid. You ain't gonna need it.
I heard some points of criticism to how React deals with reactivity and it's focus on "purity". It's interesting because there are really two approaches evolving. There's a mutable + change tracking approach and there's an immutability + referential equality testing approach. It's difficult to mix and match them when you build new features on top. So that's why React has been pushing a bit harder on immutability lately to be able to build on top of it. Both have various tradeoffs but others are doing good research in other areas, so we've decided to focus on this direction and see where it leads us.
I did want to address a few points that I didn't see get enough consideration around the tradeoffs. So here's a small brain dump.
"Compiled output results in smaller apps" - E.g. Svelte apps start smaller but the compiler output is 3-4x larger per component than the equivalent VDOM approach. This is mostly due to the code that is usually shared in the VDOM "VM" needs to be inlined into each component. The tr
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable"
sudo apt-get update
sudo apt-get install -y docker-ce
sudo curl -L https://github.com/docker/compose/releases/download/1.22.0/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
You should have the following completed on your computer before the workshop:
yarn with brew install yarn.brew install awscli should do the trick. Otherwise, you'll need Python and PIP, which you can install using brew install python.)
| Name: Flash | |
| Serial: eNrzzU/OLi0odswsqnHLSSzOqDGoca7JKCkpsNLXLy8v1ytJTczVLUotKNFLzs8FAJHYETc= | |
| if anyone wants to thank ETH: 0x527c2aB55b744D6167dc981576318af96ed26676 | |
| Thank you! |
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.