coreml - Core ML swift use cases -


i creating ios app school project user ask app encrypt/decrypt strings using asymmetric algorithm.

i user able 'talk' machine if talking human. example user ask app "could encrypt 'how you?' me, using johns public key?" app return 'how you' encrypted johns public key.

i have watched wwdc17 sessions on core ml. not sure if applicable use case. should use core ml or nlp? or should key words in sentence? if should use core ml framework should used create model?

so, if understand correctly, you're trying build chatbot. i'd suggest using nlp , speech framework voice dictation or looking key words using input speech.

coreml lot more complicated setup, not suited use case, , offers nothing more nlp, , more difficult use. nlp made doing things this.

looking key words might more easier, input app getting won't more broad than, "encrypt using algorithm".


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