WITH table_scans as ( | |
SELECT relid, | |
tables.idx_scan + tables.seq_scan as all_scans, | |
( tables.n_tup_ins + tables.n_tup_upd + tables.n_tup_del ) as writes, | |
pg_relation_size(relid) as table_size | |
FROM pg_stat_user_tables as tables | |
), | |
all_writes as ( | |
SELECT sum(writes) as total_writes | |
FROM table_scans |
- A bit of Vim - a book which aims to help you to learn how to use the Vim editor.
- A.W.E.S.O.M. O - The really big list of really interesting open source projects.
- AMP Project - The project enables the creation of websites and ads that are consistently fast, beautiful and high-performing across devices and distribution platforms.
- APE - Angular JS REST Client.
- ASCII Art - Real-Time ASCII Art Rendering Library
- AST Explorer - A web tool to explore the ASTs generated by various parsers.
- Advanced Bash-Scripting Guide - An in-depth exploration of the art of shell scripting by Mendel Cooper.
- Advent of Code - is a series of small programming puzzles for a variety of skill levels.
See how a minor change to your commit message style can make a difference.
Tip
Have a look at git-conventional-commits , a CLI util to ensure these conventions, determine version and generate changelogs
A collection of awesome penetration testing resources.
Penetration testing is the practice of launching authorized, simulated attacks against computer systems and their physical infrastructure to expose potential security weaknesses and vulnerabilities.
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Let suppose I have two github accounts, https://github.com/rahul-office and https://github.com/rahul-personal. Now i want to setup my mac to easily talk to both the github accounts.
NOTE: This logic can be extended to more than two accounts also. :)
The setup can be done in 5 easy steps:
Maybe you've heard about this technique but you haven't completely understood it, especially the PPO part. This explanation might help.
We will focus on text-to-text language models 📝, such as GPT-3, BLOOM, and T5. Models like BERT, which are encoder-only, are not addressed.
Reinforcement Learning from Human Feedback (RLHF) has been successfully applied in ChatGPT, hence its major increase in popularity. 📈
RLHF is especially useful in two scenarios 🌟:
- You can’t create a good loss function
- Example: how do you calculate a metric to measure if the model’s output was funny?
- You want to train with production data, but you can’t easily label your production data