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RASA and BlenderBot are not really comparable. RASA is more like tooling to build a task-oriented or customer-service type bot. BlenderBot1 and 2 are more like open-domain chit-chat bots that can talk with you about anything, but they won't help you accomplish anything. Additionally, BlenderBot is still research, and I wouldn't recommend it for any commercial applications. BlenderBot2 does significantly improve on contradictions compared with BlenderBot1, but there's still room for improvement. |
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GPT2, and DialoGPT (GPT fine-tuned for dialogue), are quite a lot worse
than even Blender 1, see e.g. these papers that compare them in automatic
and human evaluations:
https://arxiv.org/abs/2010.07079
https://aclanthology.org/2021.eacl-main.24/
…On Sat, Aug 7, 2021 at 1:17 PM Stephen Roller ***@***.***> wrote:
We might get some improvements based on using a different base model, but
the hallucination problem is difficult and unsolved. Retrieving using
knowledge helps significantly, but not fully.
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Is blenderbot2 better than rasa2?
is it lighter (runs on small machine/without GPU)
is it faster (gives faster response)
is it trainable easily
is training self supervised?
does it contradict itself less? (blenderbot 1 does that a lot)
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