Chinese artificial intelligence company DeepSeek has introduced a new model that it describes as an experimental release, designed to be more efficient in training and better at handling longer text sequences compared to its earlier versions.
The Hangzhou-based developer announced the model, named DeepSeek V3.2 Exp, on the developer forum Hugging Face. In its post, the company called the release “an intermediate step toward our next-generation architecture,” highlighting its role in ongoing advancements rather than as a final product.
DeepSeek emphasised that the model is part of a broader research effort aimed at refining efficiency and scalability in large language models. While details about its long-term roadmap remain limited, the company positioned this release as a significant milestone on the way to building more powerful and adaptable AI systems.
The announcement reflects the growing competition among AI firms to improve the speed, cost, and capabilities of training advanced models, particularly in processing increasingly complex and lengthy data inputs.
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