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2026-10-22, Week 43 |
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* Edit or answer any Q&A by selecting Q&A number Hyper Link below + Write button (Save) |
ICACT20240393 Question.1 Questioner: shigriyaseen@gmail.com 2024-02-07 ¿ÀÀü 12:14:16 |
ICACT20240393 Answer.1 Answer by Auhor birahim.babou@ucad.edu.sn 2024-02-07 ¿ÀÀü 12:14:16
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| What are the potential future directions or extensions of this research? |
As mentioned in the conclusion, with the advancement of AI, our next objective will be to interconnect this chatbot with ChatGPT to be able to answer questions from learners who are not on the Moodle training platform. In this way, the tool will be complete and accessible to users of all training courses. |
ICACT20240393 Question.2 Questioner: maisamali053@gmail.com 2024-02-07 ¿ÀÀü 12:23:39 |
ICACT20240393 Answer.2 Answer by Auhor birahim.babou@ucad.edu.sn 2024-02-07 ¿ÀÀü 12:23:39
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| What are the key stages in the learning process for Rasa, and what is involved in creating the NLU and discussion models during the training phase? |
The first part consists of creating the NLU and discussion models, commonly known as the training phase. As Rasa is based on Machine Learning, it requires training data. For the NLU part (Rasa-NLU), the training data are sample sentences that the user might utter, in which intent and entities are specified. A configuration file is also required to set the algorithm parameters. For the discussion part (Rasa-CORE), a set of stories must be defined so that the agent learns to choose its next action. The configuration file accompanying the stories contains lists of intentions, entities, slots and actions. |
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