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Transformers & LLMs: Transformer-Based Models, RoPE, BERT, and Modern Architecture Tricks
8:24
YouTubeAIInnovator4u
Transformers & LLMs: Transformer-Based Models, RoPE, BERT, and Modern Architecture Tricks
Key Topics Covered: 1. Position Embeddings (PE): Since the Transformer lacks sequential dependency, position information must be injected. We explore the original methods (learned embeddings and fixed sinusoidal formulas). The core idea is that words close together should be more relevant than words further apart. This led to the development of ...
4 days ago
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