even if it hasn’t yet generated revenue. Source: Microsoft, ‘Governing AI: A Blueprint for the Future,’ Microsoft Report (5/23); Data via Maddison Project & Our World in Data Technology Compounding results. Source: Spotify, ‘The New York Post,’ ‘Inside Spotify: CEO Daniel Ek on AI, Free Speech & the Future of Music’ (5/2/25); Spotify earnings releases; eMarketer, ‘Spotify dominates Apple and Amazon in don’t know English to be able to get to a world stage. But with AI, it might be possible in the future where you speak in your native language, and the AI will understand it and will actually real-time

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 5 Conclusion, Limitation, and Future Work 21 A Contributions and Acknowledgments 27 B DeepSeek-V2-Lite: A 16B Model Equipped with MLA we summarize the conclusion, deliberate on the current limitations of DeepSeek-V2, and outline our future work (Section 5). 2. Architecture By and large, DeepSeek-V2 is still in the Transformer architecture human preferences without 20 compromising its general performance presents a valuable direction for future research. Online Reinforcement Learning. In our preference alignment experiments, we find that the

program for new operator workloads and hardware Hardware FrameworksWhy Automation is the Future Clear winner on emerging models in product Competitive on benchmarking type model Quickly enables optimizations: fusion, layout, parallelization Portable performance across devicesWhy Automation is the Future 1 1 1 1 0.76 0.83 1.16 1.44 Large MatMul BatchConv Small MatMul BatchMatMul CuDNN w/ TensorCores hardware design full stack open source Current TVM Stack VTA Runtime & JIT CompilerTSIM: Support for Future Hardware Current TVM Stack New NPU Runtime TSIM Driver TSIM Binary New Hardware Design in Verilog

step. The result: users access new advancements in AI early and often—and your feedback shapes future products and models. 4 AI in the EnterpriseExecutive summary Seven lessons for enterprise AI adoption Elliott Head of Firmwide Generative AI Solutions To find out more, watch Morgan Stanley: Shaping the Future of Financial Services and ask us about our Eval Frameworks. 7 AI in the EnterpriseEvals defined

pick it up in the future (you’d be surprised how much you can forget after just a short break), to test prompt performance on different versions of a model, and to help debug future errors. Beyond the

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