Why I Hate Deepseek > 자유게시판

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Initially, DeepSeek created their first model with structure similar to other open models like LLaMA, aiming to outperform benchmarks. The larger mannequin is extra powerful, and its architecture is based on free deepseek's MoE approach with 21 billion "active" parameters. These features along with basing on successful DeepSeekMoE architecture lead to the next leads to implementation. These methods improved its efficiency on mathematical benchmarks, reaching pass charges of 63.5% on the excessive-college degree miniF2F test and 25.3% on the undergraduate-level ProofNet check, setting new state-of-the-artwork outcomes. The researchers evaluated their mannequin on the Lean four miniF2F and FIMO benchmarks, which include lots of of mathematical problems. He expressed his shock that the model hadn’t garnered extra attention, given its groundbreaking efficiency. For those who haven’t been paying attention, something monstrous has emerged in the AI landscape : DeepSeek. We are actively engaged on extra optimizations to totally reproduce the results from the DeepSeek paper. It's deceiving to not particularly say what model you are running.

This method permits the model to explore chain-of-thought (CoT) for fixing complicated problems, leading to the development of DeepSeek-R1-Zero. However, to solve complex proofs, these models must be effective-tuned on curated datasets of formal proof languages. "We imagine formal theorem proving languages like Lean, which provide rigorous verification, signify the future of arithmetic," Xin said, pointing to the growing development within the mathematical neighborhood to use theorem provers to verify complex proofs. Pretrained on 2 Trillion tokens over greater than 80 programming languages.