Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) fine-tuning are two common methods for post-training large models. While reinforcement learning fine-tuning has made significant progress ...

Describe text classification and related terminology (e.g., supervised machine learning). Apply text classification to marketing data through a peer-graded project. Apply text classification to a ...

Fine-tuning is a key technique that enables pre-trained large language models to adapt to specific domain tasks. Depending on user needs and resources, fine-tuning strategies can be categorized into ...