svjack/GLM-Open-Dialogue
A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling
This project helps you generate more engaging and diverse conversational responses for open-ended dialogue systems. You provide an initial conversational prompt, and the system outputs a series of contextually rich and meaningful follow-up sentences. This is ideal for anyone looking to build or enhance chatbots that can handle a wide range of topics and maintain fluid, human-like conversations.
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Use this if you need to create a chatbot that generates dynamic, multi-turn dialogue in response to varied user inputs, moving beyond simple, repetitive answers.
Not ideal if you need a chatbot for very specific, fact-based Q&A that requires precise, narrow answers rather than open-ended discussion.
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Language
Python
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Last pushed
Apr 10, 2023
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