DEEPSEEK NEW Paper (MLA, MTP, FP8T, EP) before R2
AI Summary
The video discusses a new research paper by DeepSeek, focusing on the architecture of the latest AI model, which introduces innovative techniques such as Multi-head Latent Attention (MLA) for improved memory efficiency, Mixture of Experts (MoE) for optimizing computation-communication trade-offs, and FP8 mixed-precision training to maximize hardware potential. The presenter highlights the breakthroughs that allow smaller teams to compete with larger companies like Google and Microsoft by utilizing smarter software and hardware designs. Key advancements include the application of a new multi-token prediction framework, reduction in training costs, and the capability to run complex models on standard consumer GPUs. The video encourages viewers to read the full paper for detailed insights and technical depth regarding these developments in AI infrastructure.