Safety in Numbers: Keeping AI Open
a16z Podcast
Spars Mixture of Experts: Efficient Model Architecture
Spars Mixture of Experts is a new model that utilizes a technology called spa's mixture of experts, which involves duplicating the dense layers of a transformer and using a router mechanism to assign tokens to expert layers. This results in a model with 46 billion parameters, but it only executes 12 billion parameters per token, leading to improved latency, throughput, and performance. This approach allows for much more efficiency at both inference and training time compared to dense models. The key difference between dense models and mixture of experts lies in the duplication of dense layers in the latter, which increases the model's capacity without increasing the cost.
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