DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...
Morning Overview on MSN
DeepSeek’s trick: smarter AI without simply scaling size
DeepSeek has become the rare AI lab that improves capability without simply throwing more compute and parameters at the ...
Joining the ranks of a growing number of smaller, powerful reasoning models is MiroThinker 1.5 from MiroMind, with just 30 ...
The Chosun Ilbo on MSN
Government builds independent AI model from scratch for global top three
The government’s selection of a “national representative AI” stems from concerns that global frontier generative AI models ...
V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs ...
Remember DeepSeek, the large language model (LLM) out of China that was released for free earlier this year and upended the AI industry? Without the funding and infrastructure of leaders in the space ...
DeepSeek unveils a new AI model focused on cost efficiency. The main innovation is a reduction in compute to run attention. The innovation is not revolutionary; it's evolutionary. Last week, DeepSeek ...
Ever wonder why ChatGPT slows down during long conversations? The culprit is a fundamental mathematical challenge: Processing long sequences of text requires massive computational resources, even with ...
DeepSeek's R1 model attracted global attention in January Article in Nature reveals R1's compute training costs for the first time DeepSeek also addresses claims it distilled OpenAI's models in ...
The Chinese AI company's reasoning model supercharged the global AI race. An agentic upgrade could have a similar effect. Katelyn is a writer with CNET covering artificial intelligence, including ...
Abstract: In this paper, Low-Rank Adaptation (LoRA) fine-tuning of two different large language models (DeepSeek R1 Distill 8B and Llama3.1 8B) was performed using the Turkish dataset. Training was ...
🍲 ms-swift is an official framework provided by the ModelScope community for fine-tuning and deploying large language models and multi-modal large models. It currently supports the training ...
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