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())) | |