🚀 LLMs are getting huge. But do we need all that firepower all the time?

Welcome to the world of Mixture of Experts (MoE) — where only the smartest parts of your model wake up for a task.

Imagine this:

• 🧠 Ask a math question → the math expert jumps in
• 🎨 Ask about art → the rest chill out

That’s MoE.
Now add Sparse MoE, and only a few selected "experts" activate per request — saving compute, memory, and time.

💡 This piece breaks down:
• What MoE is (and isn’t)
• How gating + routing networks work
• Why Sparse MoE is a game-changer for scaling AI
• Real-world examples from Google’s Switch Transformer to multilingual apps
• Why this might be the most efficient way to scale LLMs in 2025

📚 Dive in and future-proof your AI knowledge →
https://medium.com/code-your-own-path/from-giants-to-sprinters-mixture-of-experts-moe-for-efficient-ai-034caf0dee1e