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Ryan Daws@AI News //
DeepSeek has released DeepSeek V3-0324, an upgraded version of their large language model, marking a significant milestone in open-source AI. According to Artificial Analysis, this new iteration is the highest-scoring non-reasoning model available, surpassing even proprietary counterparts from Google, Anthropic, and Meta. Its accessibility improves the AI research environment. Early reports indicate substantial improvements in reasoning and coding abilities, positioning it as a real rival to OpenAI's models.

The updated model, V3-0324, excels in benchmarks such as MMLU-Pro, GPQA, AIME, and LiveCodeBench, demonstrating enhanced problem-solving and knowledge retention. It runs at 20 tokens per second on a Mac Studio, showcasing its efficiency. With its MIT license, DeepSeek-V3-0324 is freely available for commercial use, and it can run directly on consumer-grade hardware. DeepSeek's advancements signal a shift in the AI sector, as open-source frameworks increasingly compete with closed systems, offering developers a powerful and adaptable tool.
Original img attribution: https://www.artificialintelligence-news.com/wp-content/uploads/2025/03/deepseek-v3-0324-artificial-analysis-intelligence-index-open-source-ai-benchmark-results.jpeg
ImgSrc: www.artificiali

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References :
  • The Algorithmic Bridge: This article mentions DeepSeek V3 update among other AI-related topics, providing a broader context for the DeepSeek release.
  • venturebeat.com: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
  • AI News: DeepSeek V3-0324 tops non-reasoning AI models in open-source first
  • Analytics Vidhya: DeepSeek V3 developed by the Chinese AI research lab DeepSeek under High-Flyer has been a standout in the AI landscape since its initial open-source release in December 2024.
  • www.techradar.com: DeepSeek releases upgraded AI model with better performance at lower costs.
  • SiliconANGLE: DeepSeek releases improved V3 model under MIT license
  • Quinta?s weblog: DeepSeek-V3 now runs at 20 tokens per second on Mac Studio, and that’s a nightmare for OpenAI
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