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 ...

The self-attention mechanism of the Transformer model has not only revolutionized the logic of language understanding but ...

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...

Hands-on introduction to computational methods in empirical linguistic analysis and natural language processing. Topics include language modeling, text classification, linguistic annotation, ...