Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback
Lecture 3 of 11 in NLP with Deep Learning (Stanford CS224N) by Zafar Mahmood. 1 h 16 min. Watch on YouTube
Course: NLP with Deep Learning (Stanford CS224N) (Computer Science). Covers: natural language processing word vectors transformers attention language models.
All lectures in NLP with Deep Learning (Stanford CS224N)
- Stanford CS224N NLP with Deep Learning | 2023 | Lecture 8 - Self-Attention and Transformers · 1 h 17 min
- Stanford CS224N NLP with Deep Learning | 2023 | Lecture 9 - Pretraining · 1 h 19 min
- Stanford CS224N | 2023 | Lecture 10 - Prompting, Reinforcement Learning from Human Feedback · 1 h 16 min
- Stanford CS224N NLP with Deep Learning | 2023 | Lecture 11 - Natural Language Generation · 1 h 18 min
- Stanford CS224N NLP with Deep Learning | 2023 | Lecture 14 - Insights between NLP and Linguistics · 1 h 20 min
- Stanford CS224N NLP with Deep Learning | 2023 | Lecture 15 - Code Generation · 1 h 18 min
- Stanford CS224N NLP with Deep Learning | 2023 | Lecture 16 - Multimodal Deep Learning, Douwe Kiela · 1 h 18 min
- Stanford CS224N NLP with Deep Learning | 2023 | Lec. 19 - Model Interpretability & Editing, Been Kim · 1 h 12 min
- Stanford CS224N NLP with Deep Learning | 2023 | Python Tutorial, Manasi Sharma · 47 min
- Stanford CS224N NLP with Deep Learning | 2023 | PyTorch Tutorial, Drew Kaul · 47 min
- Stanford CS224N NLP with Deep Learning | 2023 | Hugging Face Tutorial, Eric Frankel · 48 min