安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- DeepSeek-R1-Distill-Qwen-1. 5B: The best small-sized LLM?
Analysis: While DeepSeek-R1-Distill-Qwen-1 5B is not the strongest in coding tasks overall, it still outperforms GPT-4o and Claude 3 5 in terms of Codeforces rating, indicating better
- Performance and Benchmarks | deepseek-ai DeepSeek-R1 | DeepWiki
Key observations: DeepSeek-R1-Distill-Qwen-32B outperforms o1-mini on AIME 2024 and MATH-500; DeepSeek-R1-Distill-Llama-70B achieves the best overall performance among distilled models; Even smaller models like DeepSeek-R1-Distill-Qwen-14B demonstrate strong mathematical reasoning capabilities; Sources: README md 140-153 Evaluation Recommendations
- Evaluating the Performance of the DeepSeek Model in . . .
In this work, we present the first evaluation of the DeepSeek model within a TEE-enabled confidential computing environment, specif-ically utilizing Intel Trust Domain Extensions (TDX) Our study benchmarks DeepSeek’s performance across CPU-only, CPU-GPU hybrid, and TEE-based implementations
- DeepSeek R1: Features, o1 Comparison, Distilled Models More
DeepSeek-R1 is an open-source reasoning model developed by DeepSeek, a Chinese AI company, to address tasks requiring logical inference, mathematical problem-solving, and real-time decision-making
- DeepSeek R1 Benchmark Comparison Evaluating Performance . . .
Explore our benchmark comparison of DeepSeek Distill models Discover how DeepSeek R1 is redefining AI accessibility with cost-efficient, high-performance models
- The Complete Guide to DeepSeek Models: From V3 to R1 and Beyond
DeepSeek-R1-Distill-Qwen-7B A step up from the 1 5B model, this version offers stronger performance in mathematical reasoning and general problem-solving It scores well on AIME (55 5) and MATH-500 (92 8), but still lags behind in coding benchmarks (37 6 on LiveCodeBench) DeepSeek-R1-Distill-Llama-8B
- DeepSeek R1 Paper Explained: What is it and How does it work?
🐋 DeepSeek is the raising star in the field of AI research and development, making waves with their groundbreaking R1 model In this blog post, I'll break down their recently published paper that details the architecture, training methodology, and capabilities of the R1 model
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