Comments (2)
It depends on the text to be honest. Sometimes the model can understand the context given and generate a response that makes sense, even if the text is over 2000 tokens. However, other times the model may struggle to understand the context, especially if the text is very long or contains complex language. In these cases, it's possible that the model will not be able to generate a response that accurately addresses the prompt.
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And the token limit on poe.com is just relatively correct since the devs added up a pre-prompt engineering process before sending the request.
from poe-api-wrapper.
Related Issues (20)
- I am getting an error when running the following commands. Maybe I'm not installing it correctly. I have Python 3.12.1 HOT 11
- Bot is not available HOT 2
- client.purge_conversation count doesn't work properly
- About the package with Python call problem
- send_message no longer works HOT 1
- API seems down since yesterday HOT 2
- TypeError: 'NoneType' object is not subscriptable after the chatbot response HOT 4
- RuntimeError: Daily limit reached for capybara. HOT 1
- I don't know how to use
- httpcore.ConnectError: [WinError 10054] | Proxy Error HOT 1
- Will there be an Async version of the Library?
- Failed to extract the form key HOT 3
- Add gemini pro in poe-api-wrapper HOT 1
- chat_break not clearing context HOT 2
- Rate limit exceeded for sending requests to poe.com. Please try again later. HOT 7
- Rate limit exceeded for sending requests to poe.com. HOT 9
- No WAY To send a message to a non default bot.
- Is there a way to grab output message citation content ? HOT 4
- get_available_knowledge is limited to the 5 last entries HOT 1
- json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) HOT 6
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