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The DeepSeek Hype from the Perspective of an AI Hobbyist
- DeepSeek has been hyped by numerous posts claiming its open-source nature, but it's only available with a research paper - not fully open-source.
- Huggingface is one AI company attempting to rebuild the missing parts of DeepSeek's R1 training pipeline, but none have replicated their results yet.
- DeepSeek's claims about its groundbreaking FP8 technology and MoE technology are highly misleading.
- FP8 has been around for years, and MoE has been used as a method to speed up LLMs since its release with Mixtral.
- Confusingly, reasoning versions of DeepSeek's competitors' models have been misrepresented as smaller versions of DeepSeek-R1.
- DeepSeek-R1 is the first to use large-scale mixed-precision FP8 in creating a cutting-edge model with its DualPipe algorithm and Multi-Token Prediction for great developments in parallelism.
- The article is not meant to discredit the DeepSeek team's advancements in technology and shouldn't be misrepresented to gain attention.
- However, the ability of DeepSeek to run on Huawei's NPUs due to export restrictions is a matter of concern for American companies.
- Despite the hype, a full R1 model requires a lot more resources than any consumer GPU can provide.
- Misrepresentation of AI advancements can undermine researchers' hard work and hurt progress in the field.
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