Preparing your workspace
Phase 1: Theoretical Foundations and Proofs
2 modules · 0 lessons
Phase 2: Modern Transformer Variants
2 modules · 0 lessons
Phase 3: Transformers Beyond NLP
1 modules · 0 lessons
Module 1: Attention as Kernel Smoothing and Information Retrieval
Module 2: Optimization Landscape of Transformers
Module 1: Encoder-Only and Decoder-Only Architectures
Module 2: Efficient Attention and Scaling
Module 1: Vision and Multimodal Transformers
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An advanced deep-dive into the Transformer from 'Attention Is All You Need' — covering mathematical proofs, implementation optimizations, modern variants (BERT, GPT, Vision Transformers), and cutting-edge research directions.
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