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DeepSeek also said it distilled the reasoning steps used in R1-0528 into Alibaba’s Qwen3 8B Base model. That process created a new, smaller model that surpassed Qwen3’s performance by more ...
For instance, in the AIME 2025 test, DeepSeek-R1-0528’s accuracy jumped from 70% to 87.5%, indicating deeper reasoning processes that now average 23,000 tokens per question compared to 12,000 in ...
China's free-for-all AI models, developed by firms like DeepSeek and Alibaba, present a viable alternative to US ...
Deepseek R1-0528 Just Broke the Entire AI Industry Watch this video on YouTube. Take a look at other insightful guides from our broad collection that might capture your interest in Deepseek.
Deepseek’s R1-0528 AI model competes with industry leaders like GPT-4 and Google’s Gemini 2.5 Pro, excelling in reasoning, cost efficiency, and technical innovation despite a modest $6 million ...
DeepSeek released an updated version of their popular R1 reasoning model (version 0528) with – according to the company – increased benchmark performance, reduced hallucinations, and native support ...
DeepSeek-R1-0528-Qwen3-8B is available under a permissive MIT license, meaning it can be used commercially without restriction. Several hosts, including LM Studio, already offer the model through ...
Most of the tech industry and investors greeted the launch with a giant shrug. This is a pretty stark contrast to early 2025 when DeepSeek's R1 model freaked everyone out.
The new version, DeepSeek-R1-0528, has a whopping 685 billion parameters, meaning it can perform on par with competitors such as o3 from OpenAI and Gemini 2.5 Pro from Google.
A new version of DeepSeek is DeepSeek-R1-0528. DeepSeek R1 has significantly improved its depth of reasoning and inference capabilities by leveraging increased computational resources and introducing ...
DeepSeek's updated R1 AI model is more censored than the AI lab's previously releases, one test found — in particular when it comes to criticism of the Chinese government.
DeepSeek R1T2 – 200% faster than R1-0528 & 20% faster than R1,” wrote Vaibhav (VB) Srivastav, a senior leader at Hugging Face, on X. “Significantly better than R1 on GPQA & AIME 24, made via ...