PersonaGPT is an open-domain conversational agent designed to do 2 tasks:

It builds on the DialoGPT-medium pretrained model based on the GPT-2 architecture. 
This model is trained on the Persona-Chat dataset, with added special tokens to better distinguish between conversational history and personality traits for dyadic conversations. Furthermore, some active learning was used to train the model to do controlled decoding using turn-level goals.

Preprocessing, training and implementation details can be found in the personaGPT repo.

Example of personalized decoding:

Example of controlled response generation: 



PersonaGPT is a conversational AI model that is trained on the Persona-Chat dataset. It uses the GPT-2 architecture and is designed to generate personalized and controlled responses in open-domain conversations. The model includes special tokens to distinguish between conversational history and personality traits, and has been trained to do controlled decoding using turn-level goals. The model's preprocessing, training, and implementation details can be found in the personaGPT repository.

Af1tang

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personaGPT

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