Join us for Session 3 of AI Math Clubs!
🗣 Guest Speaker: Xihan Li
(Google Developer Expert in Google Cloud & AI)
🔓 Session Topic:
Mathematics Behind Transformers: From Word Embeddings to Attention Mechanisms
🔍 Key Focus Areas:
- Mathematical foundations of Word Embeddings and how language is represented in vector spaces.
- Understanding the Query, Key, Value (QKV) framework and the computations behind Self-Attention.
- The role of Positional Encoding in enabling transformers to understand sequence order.
- How Transformer Architectures combine embeddings, attention, and positional information to process language effectively.
📅 Date: 11th July 2026
⏰ Time: 2:00 PM PKT
📺 Live on Google Meet
Whether you’re looking to understand the mathematical principles that power transformer models or curious about the mechanisms behind modern AI systems like GPT and Gemini, this session is for you!
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