Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 2 - Transformer-Based Models & Tricks
1:47:20
YouTubeStanford Online
Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 2 - Transformer-Based Models & Tricks
For more information about Stanford’s graduate programs, visit: https://online.stanford.edu/graduate-education October 3, 2025 This lecture covers: • Attention approximation • MHA, MQA, GQA • Position embeddings (regular, learned) • RoPE and applications • Transformer-based architectures • BERT and its derivatives To follow along ...
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