Attention Mechanism in Transformers Self, Cross, Multi Head Attention Explained

In this video, we understand the Attention Mechanism, one of the most important concepts in modern Natural Language Processing and the foundation of Transformer architectures used in models like BERT, GPT, and modern Large Language Models. Here is the GitHub repo link: https://github.com/switch2ai You can download all the code, scripts, and documents from the above GitHub repository. We begin by understanding the limitation of traditional word embeddings. Earlier embedding techniques such as Word2Vec and GloVe generate static embeddings. Static embeddings assign a fixed vector to a word reg…