EP 22 | CS25: Overview of Transformers

We are kicking off a brand new course with the architecture that changed everything: CS25. In this episode, we break down the fundamental mechanics of Transformers. If you've ever wondered how modern large language models actually process information, this is where it starts.Key Topics:The Attention Mechanism: How models learn to weigh the importance of different words in a sequence.Moving Past RNNs: Why Transformers succeeded where previous architectures bottlenecked.Parallelization: The engineering breakthrough that allowed models to train on massive datasets simultaneously.Note: This is an AI-generated study resource created via NotebookLM based on the CS25 curriculum and personal study notes.