Bootstrap knowledge of LLMs ASAP. With a bias/focus to GPT.
Avoid being a link dump. Try to provide only valuable well tuned information.
Neural network links before starting with transformers.
| from functools import wraps | |
| from telegram import ChatAction | |
| def before_response(function): | |
| """Do something before responding""" | |
| def do_before(func): | |
| @wraps(func) |
| from functools import wraps | |
| from telegram.ext import Updater, CommandHandler | |
| # Using a factory function (closures) to contain the started-state of the bot | |
| # This is cleaner and better-practice than using globals | |
| def state_factory(): | |
| """Factory function for containing the bot state.""" | |
| state = False |
| import time | |
| from functools import wraps | |
| timeout_funcs = {} | |
| def get_seconds(): | |
| return int(round(time.time())) |