Here's a basic outline of how you could implement a Twitch.tv GPT3 chatbot using OpenAI's GPT-3 API:

python

import openai
import time

openai.api_key = "your_openai_api_key"
model_engine = "text-davinci-002"

# Retain a history of chat comments for learning
comments_history = []

def chatbot(prompt):
    response = openai.Completion.create(
        engine=model_engine,
        prompt=prompt,
        max_tokens=1024,
        n=1,
        stop=None,
        temperature=0.5,
    )

    message = response.choices[0].text
    comments_history.append(message)

    return message

def on_message(message, user):
    if user == "TwitchUsername" and message.startswith("@chatbot"):
        # Only respond to messages addressed directly to the chatbot
        prompt = message.replace("@chatbot", "") + "\n"
        response = chatbot(prompt)
        send_message(response)

def send_message(message):
    # Code to send the message to Twitch chat
    pass

# Continuously check for new chat messages
while True:
    messages = get_new_messages()
    for message in messages:
        on_message(message["message"], message["user"])
    time.sleep(1)
Note: This is just a basic example and would need to be adapted to fit the specific needs of your chatbot and the platform you are using. The get_new_messages and send_message functions would need to be implemented for your platform, and you may also want to implement additional features such as filtering explicit content or tracking user reputation
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence