In the field of artificial intelligence, the latest version of DeepSeek, DeepSeek-V2.5, has once again demonstrated its leading position in technological forefront with its exceptional coding capabilities and chat model performance. In a fierce competition with GPT-4, DeepSeek-V2.5 showed significant improvement in win rates across multiple test sets.
In the ArenaHard test, its win rate jumped from 68.3% to 76.3%, and in the AlpacaEval2.0LC test, the win rate also increased from 46.61% to 50.52%. These achievements not only showcase DeepSeek-V2.5's ability to understand complex problems and provide solutions but also reflect its adaptability and accuracy in both Chinese and English environments.
Beyond the improvement in win rates, DeepSeek-V2.5 has also made progress in other evaluation metrics. The MT-Bench score increased from 8.84 to 9.02, and the AlignBench score rose from 7.88 to 8.04. These score increments further confirm the optimization of DeepSeek-V2.5's capabilities in writing tasks, instruction following, and rejecting inappropriate requests.
In terms of code generation capabilities, DeepSeek-V2.5 has been enhanced based on DeepSeek-Coder-V2-0724 and achieved remarkable results on standard test sets. The HumanEval score reached 89%, and the LiveCodeBench (January-September) score also reached 41%. These results indicate a significant improvement in DeepSeek-V2.5's ability to generate high-quality, executable code.
The DeepSeek team has also developed a comprehensive framework called Fire-Flyer AI-HPC, which integrates hardware and software design to optimize performance, cost-effectiveness, and energy efficiency. The performance level of Fire-Flyer2 is comparable to the industry-leading NVIDIA DGX-A100, while the cost is reduced by 50% and energy consumption by 40%. These achievements are attributed to meticulous engineering design and thoughtful design decisions that optimize the system's hardware and software components.
Experience the demo at: https://top.aibase.com/tool/deepseek-chat