From Slow to Superfast- KV Cache vs Paged Cache vs KV-AdaQuant in Transformers

In this video, we dive deep into one of the most powerful innovations behind modern large language models (LLMs) — the KV Cache, and its cutting-edge evolutions: Paged KV Cache and KV-AdaQuant. 🔍 What You’ll Learn: ✅ What is KV Cache and how it works in Transformers ✅ Why Vanilla Self-Attention is inefficient for inference ✅ How Paged KV Cache enables long-context performance ✅ What makes KV-AdaQuant a breakthrough for quantized caching ✅ Step-by-step visual comparison between all 3 techniques ✅ Real-world impact on LLMs like GPT, Claude 3, and Mistral ✅ Bonus: Diagram breakdowns + examples t…