DeepSeek R1 is an open sourced model. DeepSeek is a Chinese AI research company backed by High-Flyer Capital Management, a quant hedge fund focused on AI applications for trading decisions. They have ...

DeepSeek exploded into the world's consciousness this past weekend. It stands out for three powerful reasons: It's an AI chatbot from China, rather than the US It's open source. It uses vastly less ...

If you want to set and use Deepseek-R1 in Visual Studio Code, follow the steps below. Install Visual Studio Code Download Ollama Install the CodeGPT Extension Install DeepSeek models Use DeepSeek in ...

Have you ever found yourself wrestling with a coding problem that just wouldn’t budge or staring at a complex equation, wishing for a bit of extra brainpower? If so, you’re not alone. Whether you’re a ...

Third-party verification has revealed that the Chinese-made AI DeepSeek has very high capabilities, but because it is Chinese, it has been pointed out that it may be intentionally outputting ...

The Chinese AI model DeepSeek-R1 reacts in an unusual "allergic" way when prompts contain terms considered sensitive by the Chinese government. This has now been discovered by security researchers ...

It’s only been a week since Chinese company DeepSeek launched its open-weights R1 reasoning model, which is reportedly competitive with OpenAI’s state-of-the-art o1 models despite being trained for a ...

DeepSeek, the rapidly growing generative artificial intelligence (GenAI) model that made waves around the world at the end of January – and reportedly wiped over a trillion dollars from stock markets ...

Deepseek R1 has emerged as a prominent open source language model, excelling in areas such as coding, reasoning, and mathematical problem-solving. It directly competes with proprietary models like ...

Experts find DeepSeek-R1 produces dangerously insecure code when political terms are included in prompts Half of the politically sensitive prompts trigger DeepSeek-R1 to refuse to generate any code ...

China's DeepSeek-R1 LLM generates up to 50% more insecure code when prompted with politically sensitive inputs such as "Falun Gong," "Uyghurs," or "Tibet," according to new research from CrowdStrike.