DeepSeek-V2.5, a new powerhouse in the field of artificial intelligence, has made significant breakthroughs in code writing and chat model performance. It performed well in the comparative test with GPT-4, with a significant increase in winning rate and improvements in multiple evaluation indicators. DeepSeek-V2.5 not only performs well in terms of accuracy and adaptability, but also demonstrates powerful capabilities in code generation, instruction following, and rejecting inappropriate requests, setting a new benchmark for the development of artificial intelligence technology.
In the field of artificial intelligence, DeepSeek's latest version, DeepSeek-V2.5, has once again proven its position at the forefront of technology with its excellent code writing capabilities and chat model performance. In a fierce duel with GPT-4, DeepSeek-V2.5 showed a significant improvement in winning rate on multiple test sets.
In the ArenaHard test, its winning rate jumped from 68.3% to 76.3%, and in the AlpacaEval2.0LC test, its winning rate also increased from 46.61% to 50.52%. These results not only demonstrate DeepSeek-V2.5's ability to understand complex problems and provide solutions, but also reflect its adaptability and accuracy in Chinese and English environments.
In addition to the improvement in winning rate, DeepSeek-V2.5 has also made improvements in other scoring indicators. The MT-Bench score increased from 8.84 to 9.02, and the AlignBench score also increased from 7.88 to 8.04. The increase in these scores further proves that DeepSeek-V2.5 has been optimized in its ability to perform writing tasks, follow instructions and reject inappropriate requests.
In terms of code generation capabilities, DeepSeek-V2.5 has been enhanced on the basis of DeepSeek-Coder-V2-0724 and has achieved impressive results on the standard test set. HumanEval's score reached 89%, and LiveCodeBench's (January-September) score also reached 41%. These results show that DeepSeek-V2.5's ability to generate high-quality, executable code has been significantly improved.
The DeepSeek team has also developed a comprehensive framework called Fire-Flyer AI-HPC, which collaboratively fuses hardware and software design to achieve performance optimization, cost-effectiveness, and energy conservation. Fire-Flyer2 delivers performance levels comparable to the industry-leading NVIDIA DGX-A100 at 50% lower cost and 40% lower energy consumption. These results are the result of careful engineering and thoughtful design decisions that optimize the system's hardware and software components.
Experience address: https://top.aibase.com/tool/deepseek-chat
The success of DeepSeek-V2.5 lies not only in its strong technical strength, but also in the DeepSeek team’s persistent pursuit of technological innovation and the ultimate polishing of user experience. In the future, DeepSeek-V2.5 is expected to play an important role in more fields and inject new vitality into the development of artificial intelligence technology.