GPT3
How do you get Creativity from Determinism?
Tokens
Transformers
Creativity
TOKENS
"Some"
4366
token
"Some words are encoded as one token."
[4366, 2456, 389, 30240, 355, 530, 11241, 13]
tokenise
TRANSFORMERS
tokenise("Once upon a")
token(" time")model
tokenise("Once upon a" + " time")token(",")model
Response length
Run for n cycles
Stop Sequences
Run until the last n tokens match one of the stop sequences
DETERMINISTIC
creativity
tokenise("Once upon a")
token("time")model
tokenise("Once upon a")(token(" time"), logprob("96.45%"))
model
tokenise("Once upon a")
[(token(" time"), logprob("96.45%")),
(token(" Time"), logprob("0.67%")),
(token(" midnight"), logprob("0.31%")),
...]
model
StartS with a thorough understanding of expectations
tokenise("Once upon a" + " midnight")token("dreary")model
TEMPERATURE
The likelihood that a lower probability token will have its relative probability increased.
Top P
Only consider the top n most likely tokens, having a cumulative probability of p.
SELECTS THE LESS WELL-TRODDEN PATH
Best of
Generate m sequences of n tokens, then select the sequence of tokens with the highest probability.
Generates a few ideas and picks the best
CONCLUSIONS
The models, despite their vast complexity, are deterministic
Creativity starts with a comprehensive understanding of expectations
It then chooses to take a less well trodden path
Repeating this process requires more effort but can improve the result, by ranking the ideas and selecting the best
Thanks
Read more
https://blog.scottlogic.com/cprice/
watch the COMPUTERPHILE EPISODE on AI LANGUAGE MODELS & TRANSFORMERS
https://www.youtube.com/watch?v=rURRYI66E54
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Copy of OpenAI
By Chris Price
