On April 9, using the Colab notebook we ambitiously completed yesterday, we finally attempted the first training (fine-tuning) of our artificial intelligence model (Llama 3.1). However, reality was not that easy, and we had to face numerous errors. It was also a tough day as we had to simultaneously create the presentation materials for the 6th week of the Capstone Design project.
April 8th was the day we experienced the biggest crisis and a 'laugh-and-cry' happening while working on the Maeumjigi project. It was the Claude API monthly limit exceeded & bill bomb incident.
This is the record of April 3, the day we began in earnest the task of refining the training conversation data to feed into the deep learning model (Llama 3.1). It was also the day we ran a massive pipeline that makes the Artificial Intelligence (AI) read the text and judge the emotion on its own, going beyond simple data merging.
This is the record of April 1, when we began processing a massive amount of conversation data into a format suitable for training the Llama 3.1 model, which will become the core engine of the Maeumjigi project.
This is the record of March 31, when we conducted the Android build test of the MND Convention reservation alarm app, which was the initial direction of the Maeumjigi project, while simultaneously starting the Llama 3.1 fine-tuning data preprocessing, hinting at a full transition into an AI-based project.