Artificial Intelligence, Machine Learning, Llm, Fine Tuning, Mlops.
LLMs need vast amounts of data to learn effectively. Fine-tuning on small datasets often leads to overfitting. As a rule of thumb, 1,000 examples is an absolute minimum per task. Unbalanced Training Sets Class and dataset imbalances can bias the model. Ensure diversity in your data and handle