DeepSeek sent Silicon Valley into a frenzy when it launched its first model R1 out of nowhere last year, showing that it’s possible to train large language models (LLMs) quickly, on less powerful chips, using fewer resources. The company released DeepSeek-V3.2-Exp on Monday, an experimental version of its current model DeepSeek-V3.1-Terminus, which builds further on its mission to increase efficiency in AI systems, according to a post on the AI forum Hugging Face.
tirsdag 30. september 2025
China’s DeepSeek launches next-gen AI model. Here’s what makes it different
Chinese startup DeepSeek’s latest experimental model promises to increase efficiency and improve AI’s ability to handle a lot of information at a fraction of the cost, but questions remain over how effective and safe the architecture is.
DeepSeek sent Silicon Valley into a frenzy when it launched its first model R1 out of nowhere last year, showing that it’s possible to train large language models (LLMs) quickly, on less powerful chips, using fewer resources. The company released DeepSeek-V3.2-Exp on Monday, an experimental version of its current model DeepSeek-V3.1-Terminus, which builds further on its mission to increase efficiency in AI systems, according to a post on the AI forum Hugging Face.
DeepSeek sent Silicon Valley into a frenzy when it launched its first model R1 out of nowhere last year, showing that it’s possible to train large language models (LLMs) quickly, on less powerful chips, using fewer resources. The company released DeepSeek-V3.2-Exp on Monday, an experimental version of its current model DeepSeek-V3.1-Terminus, which builds further on its mission to increase efficiency in AI systems, according to a post on the AI forum Hugging Face.
