A "Best of the Best Practices" (BOBP) guide to developing in Python.
- "Build tools for others that you want to be built for you." - Kenneth Reitz
- "Simplicity is alway better than functionality." - Pieter Hintjens
Magic words:
psql -U postgres
Some interesting flags (to see all, use -h
or --help
depending on your psql version):
-E
: will describe the underlaying queries of the \
commands (cool for learning!)-l
: psql will list all databases and then exit (useful if the user you connect with doesn't has a default database, like at AWS RDS)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
#!/bin/bash | |
### steps #### | |
# Verify the system has a cuda-capable gpu | |
# Download and install the nvidia cuda toolkit and cudnn | |
# Setup environmental variables | |
# Verify the installation | |
### | |
### to verify your gpu is cuda enable check |
git_protocol: ssh | |
aliases: | |
personal: '!cp ~/.config/gh/hosts.yml.personal ~/.config/gh/hosts.yml && gh auth status' | |
work: '!cp ~/.config/gh/hosts.yml.work ~/.config/gh/hosts.yml && gh auth status' |
tmux, like other great software, is deceptive. On the one hand, it's fairly easy to get set up and start using right away. On the other hand, it's difficult to take advantage of tmux's adanced power features without spending some quality alone time with the manual. But the problem with manuals is that they aren't geared toward beginners. They are geared toward helping seasoned developers and computer enthusiasts quickly obtain the
#! /usr/bin/env python3 | |
""" | |
Development Version: Python 3.5.1 | |
Author: Benjamin Cordier | |
Description: Module For Performance | |
Assessment of Classification Task | |
License: BSD 3 Clause | |
-- |