How Transformers Actually Work: A Step-by-Step Layer Breakdown 🧠

In this video, we take you through a comprehensive breakdown of the Transformer architecture, explaining each layer in detail to help you understand how these models power state-of-the-art AI systems. You'll learn about: Embeddings: How input data is converted into high-dimensional vectors. Positional Encodings: The method transformers use to capture the order of sequences. Multi-Head Attention: How transformers focus on different parts of the input simultaneously. Self-Attention: The mechanism that enables transformers to weigh the importance of each word in relation to others. Masked Multi…