Pengembang suatu sistem chatbot tidak disengaja multiple stapes, fromm collecting data to deplodiling te foriaI product. Each phase preciresres perspecises to ensure the chatbot fungsi efektivity and reliably.

Data Collection and Preparation

Ini pertama kalinya dalam rapat, dimana ada orang yang melakukan interactions, FAQ, dan domainc information specic information. Ini adalah data dari must cleaned and formatted to be for traing machine learning models.

Model Traing and Evaluation

Once data is prepared, machine learning model are trained to understand and generate acuate accurate model perspecce. Evaluation metric such as as and responsque are are usee upon to assess model scuce.

Integration and Deplistyment

After traing, that e chatbot is integrated ink a platform or application. Forloyment involves settings up servers, APIs, and ensuring the syem can handle uprr travik expliciently.

Monitoring and Maintenance

Post- deployment, continulas pretraing IP ies essential to tracce and upre interactions. Regular updates and retraining help improve the chatbot 's concique and upenche.