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Quoc Le
New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:
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Quoc Le 28. sij
Odgovor korisniku/ci @xpearhead @lmthang
You can find some sample conversations with the bot here:
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Quoc Le 29. sij
Odgovor korisniku/ci @xpearhead @lmthang @Blonkhart
My favorite conversation is below. The Hayvard pun was funny but I totally missed the steer joke at the end until it was pointed out today by
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Quoc Le 30. sij
Odgovor korisniku/ci @xpearhead @lmthang @Blonkhart
I had another conversation with Meena just now. It's not as funny and I don't understand the first answer. But the replies to the next two questions are quite funny.
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lerner zhang 29. sij
Odgovor korisniku/ci @quocleix @xpearhead @lmthang
By perplexity do you mean average perplexity? I wonder if a weighted average perplexity would be better?
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Thang Luong 29. sij
Odgovor korisniku/ci @lerner_adams @quocleix @xpearhead
Perplexity for a language model, by definition, is computed by first averaging all neg log predictions and then exponentiating. Does that help explain?
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Alex Teichman 28. sij
Odgovor korisniku/ci @quocleix @xpearhead @lmthang
For deep NLP it has been A hell of a ride wherein To minimize perplexity While lacking convexity It’s neural architecture search for the win.
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Kiran Mudiam 28. sij
Odgovor korisniku/ci @quocleix @xpearhead @lmthang
Great work! Can’t wait to chat with Meena soon, perhaps via Google Home one day!
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Bots.MY 29. sij
Odgovor korisniku/ci @quocleix @xpearhead @lmthang
chatbot = future of marketing, no doubt about that
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Titus von der Malsburg 29. sij
Odgovor korisniku/ci @botsdotmy @quocleix i 2 ostali
Chatbots = future of winning elections, I'm afraid
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Michael Retchin 28. sij
Odgovor korisniku/ci @quocleix @rbhar90 i 2 ostali
Really impressive work. Congrats!
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