DeepSeek and its AI Model: The Untold Story

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DeepSeek has recently emerged as a significant player in the AI landscape, challenging the dominance of AI companies with its innovative models and efficient approach to training.

This article will focus on DeepSeek and its latest reasoning model, R1.

DeepSeek’s Breakthroughs

DeepSeek’s rise to prominence is marked by several key breakthroughs that have shaken the AI community.

The company’s models have demonstrated both high performance and cost-effectiveness, leading to a reevaluation of established norms in the industry.

Here are some key innovations:

• DeepSeekMoE: This refers to a “mixture of experts” model, where the model is divided into multiple “experts” and only the necessary ones are activated for a given task. DeepSeek’s implementation includes more finely-grained specialized experts and shared experts with more generalized capabilities. They also introduced new approaches to load-balancing and routing during training, which made training more efficient.
• DeepSeekMLA: This innovation, also known as multi-head latent attention, compresses the key-value store, drastically reducing…