Part 5/9:
Another key advancement is Deep Seek’s multi-head latent attention (MLA), which compresses data before training, thereby boosting efficiency and minimizing memory usage. By operating on a smaller scale and focusing on critical data, Deep Seek improves the model's performance while reducing resource requirements. Together, these innovations culminate in an impressive 45x performance improvement.