#CS224N-lecture
共 19 个条目
讲座 (19)
L01: Introduction and the History of NLP L02: Word Vectors L04: Language Models and Recurrent Neural Networks L05: Attention and Transformers L06: Final Projects & Practical Tips L08: Post-training L09: Efficient Adaptation (PEFT) L03: Backpropagation and Neural Networks L07: Pretraining L10: RAG and Language Agents L11: Evaluation L12: Reasoning 1/2 L13: Reasoning 2/2 L14: Tokenization and Multilinguality L15: Interpretability (Guest: Been Kim) L17: Multimodality (Guest: Luke Zettlemoyer) L18: LoRA Without Regret (Guest: John Schulman) L16: AI's Impact on Humanity L19: Open Questions in NLP