Chinese AI startup DeepSeek has released its latest large language model DeepSeek-V2, featuring 236B parameters with MoE architecture, surpassing Claude 3.5 Sonnet in Chinese math reasoning and code generation, marking a significant breakthrough for open-source models.
Chinese AI startup DeepSeek has released DeepSeek-V2, a 236B parameter MoE model that matches GPT-4o's performance while costing only 1/30 for inference. The release has sparked widespread discussion with over 10,000 GitHub stars and 150,000+ mentions on X platform.
Chinese AI startup DeepSeek releases its latest open-source large language model DeepSeek-V2, featuring 671 billion total parameters but requiring only 37 billion activated for efficient inference, with performance metrics approaching OpenAI's GPT-4o.
DeepSeek team released V2 open-source model, excelling in Chinese benchmarks especially in math and code generation, surpassing Meta's Llama3 while costing only 1/10 to train. The breakthrough ignited discussions on X platform's Chinese community with over 500,000 views.
DeepSeek team releases open-source LLM DeepSeek-V2 with 236B parameters requiring only 16GB VRAM for inference, outperforming Meta's Llama3 in mathematical benchmarks. The model has garnered over 150,000 reposts in Chinese communities, marking a major breakthrough for domestic AI in efficient large model development.
