Closed johndpope closed 8 years ago
Can you give some example(s) showing how can we utilize this?
@johndpope Thanks for sharing.
AIML seems to take a rule-based approach in building a question-answering system, where most of the responses would have to be hard coded. I think JARVIS would not scale with such a limitation. Also, most of the projects/libraries around AIML are not currently maintained. I suppose we could stick to a text-mining based approach rather than a hard coded rule-based one.
@swapagarwal Your thoughts?
Hi @johndpope, I took a look at AIML and I totally agree with @KartikKannapur. JARVIS aims to learn from human language and respond accordingly. Using AIML will restrict it to a fixed set of queries and scaling it would be quite a tedious task.
I will close this ticket - fyi
@johndpope we're using an api.ai alternative, see https://wit.ai/swapagarwal/JARVIS-on-Messenger/
https://github.com/creatorrr/pyAIML