advanced~10h

Model Optimization: Compression & KV Cache

Learn quantization, pruning, distillation, and the size and structure of KV Caches.

4
Subtopics
1
Exercises
1
Projects
1
Quiz Qs
8
Flashcards
📚 Prerequisites(1)

🎓 Learning objectives

  • Compare PTQ and QAT quantization techniques
  • Explain KV Caching and calculate KV cache size: $O(layers imes heads imes seq imes dim)$
  • Describe Multi-Query Attention (MQA) and Grouped-Query Attention (GQA)

Model Optimization: Compression & KV Cache is a Pro topic

Sign in, then upgrade to Pro or Power to unlock this topic and the full AI Engineering curriculum.

📂 Subtopics

Related concepts

llm-foundationsllm-deployment

Next to learn

llm-deployment