Comments (5)
That's what I though while testing it... Thanks for the confirmation :-)
I guess that a learning mode could be added with a separate skill by using something like https://deeppavlov-agent.readthedocs.io/ with https://github.com/deepset-ai/haystack for the QA system.
Have you ever tested those stacks ?
I would be curious to see what kind of results it gives, as I tested haystack with fairly good results so far, with gpt2bot+deeppavlov agent+haystack
Another (sorry if a dumb one!!! ^^) question, is it possible to apply reinforcement learning to a chatbot ?
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Can't comment on these tools as I haven't used them in this setting.
You may find papers training an RL agent for conversation. You would need to establish a reward function such as human likeness, answer coherence, etc. Can't tell whether it's effective though.
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I can't fully understand what learning mode is, the code is a little bit of a mess. The model in this example doesn't learn anything new, it simply adds some context prior to the dialogue.
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https://machinelearning.veravandeseyp.com/
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Related Issues (15)
- Response Quality control HOT 1
- Can you tell on which dataset is it trained upon?
- Traning on own dataset HOT 1
- How to get gpt2bot reply message the exact length?
- Nvidia 3090 +large*-gpu.cfg HOT 1
- error when using dstc dataset in config HOT 2
- Run only on console
- It is not running in the console
- Does this work on a jetson nano? HOT 1
- RuntimeError: CUDA error: device-side assert triggered HOT 4
- User session in Telegram supported ? HOT 2
- Transformers version HOT 2
- large model release, would you update it? HOT 7
- Flask/Gunicorn server api HOT 4
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