Consider the case of a wedding chatbot that does not only respond to the questions, but is aware of the details of each aspect of the wedding, such as the time when the ceremony should take place and the details of the dress code. Tuning the state-of-the-art deep learning models (LLAMA-3-8B and DeepSeek-r1) to specialized JSAONL wedding datasets, we develop an intelligent assistant that allows giving detailed and context-aware answers to the details regarding the wedding. These models are tested with powerful performance measures such as accuracy, precision, recall and F1-score, which guarantees the best and accurate performance of the chatbot.

This is done by fine-tuning the wedding-specific queries using the JSAONL wedding data to suit the LLAMA-3-8B and DeepSeek-r1 models. The data sets are broad in nature as they have a variety of wedding specifications such as date, venue, dresses, and RSVP. All the models are strictly tested to identify the capacity of each to provide the right and relevant response and the model with the best performance is identified to be deployed.