LaMDA aims to eventually converse normally about almost anything without any kind of prior training.
Unlike other language models, Google’s LaMDA was trained on real dialogue.
Things are moving fast with robot speech.
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“The next frontier, though, is much more difficult,” he added.
Both of these issues are being worked on, but both are quite far from satisfactory."
“These layers refine the signal, sorting it into more complex classifications,” he added.
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“The result is synthetic speech that sounds uncannily like a human.”
Kaplan said producing human-like speech also takes enormous amounts of processing power.
Companies are developing neural accelerator chips, which are custom modules that work in conjunction with regular processors.
