Understanding the concept of Multi-Head Attention in Generative AI & LLM

Continuing our deep dive into Transformers, today we explore Multi-Head Attention, a crucial concept behind their success!

Previously, we covered tokens, word embeddings, and self-attention. Now, we’ll focus on Multi-Head Attention:

·       From Self-Attention to Multi-Head Attention: We’ll bridge the gap between these concepts, explaining how Multi-Head Attention builds upon self-attention’s foundation.
·       What is Multi-Head Attention? We’ll break down this powerful mechanism
·       Learning Through Examples: Get ready for clear, detailed examples that illustrate how Multi-Head Attention works in action!
·       Step-by-Step Breakdown: We’ll walk you through the process of Multi-Head Attention using a specific example, making the concept even more relatable.
·       Concise Definition: We’ll provide a clear and summarized definition of Multi-Head Attention to solidify your understanding.

With this post, we’re one step closer to unlocking the power of Transformers!

Stay tuned for future installments where we delve deeper into the fascinating world of Transformers!

#GenAI #AI #DataScience #MultiHead #Transformer