As configured in my dotfiles.
start new:
tmux
start new with session name:
As configured in my dotfiles.
start new:
tmux
start new with session name:
# From http://stackoverflow.com/a/11158224 | |
# Solution A - If the script importing the module is in a package | |
from .. import mymodule | |
# Solution B - If the script importing the module is not in a package | |
import os,sys,inspect | |
current_dir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe()))) | |
parent_dir = os.path.dirname(current_dir) | |
sys.path.insert(0, parent_dir) |
This is a very hacky solution to copy Liked songs to a playlist since YTM still doesn't have the functionality. I'm using this to copy songs out of YTM to another service, then unsubscribing. Thus, I won't be maintaining it (or ever using it again). It will only work while the YTM interface is the same as it is today (3/6/21) and will break once they make updates.
Steps to use:
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