What is Mixture of Experts?
Mixture of Experts is a machine learning approach that activates specific subnetworks for tasks, improving efficiency in large models.
MAIN POINTS FROM TRANSCRIPT
- Neural networks can be extremely large, with hundreds of billions of parameters.
- Mixture of Experts divides models into subnetworks, activating only relevant ones for tasks.
- This approach originated in 1991 and is now regaining popularity in large language models.
TAKEAWAYS
- Mixture of Experts reduces computation by using only necessary subnetworks.
- It achieved target accuracy in half the cycles compared to traditional models.
- Modern large language models like Mistral are adopting this architecture.