AI Trainer
The scope of creating an LLM for Cantonese encompasses multiple phases, each critical to ensuring the model effectively captures the linguistic and cultural nuances of this Chinese dialect: Data Collection and Preprocessing Gathering a substantial corpus of Cantonese text is the foundation of the project. This involves sourcing and cleaning data to make it suitable for training. Model Training The core task is training a large-scale language model tailored to Cantonese, requiring the model to learn its unique vocabulary, grammar, and contextual patterns. Fine-Tuning for Specific Tasks After initial training, the model must be refined for practical applications relevant to Cantonese speakers, such as translation, text generation, or question-answering