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 the concept of topic modeling and related terminology (e.g., unsupervised machine learning) Apply topic modeling to marketing data via a peer-graded project Apply topic modeling to a variety ...

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 ...