DEEPSEEK

DeepSeek is an AI company and a family of large language models based in Hangzhou, China. It was founded in 2023 and funded by High-Flyer, a well - known quantitative asset management giant. DeepSeek is dedicated to developing advanced large language models and related technologies. It has released several models, including DeepSeek LLM, DeepSeek Coder, DeepSeekMath, and DeepSeek - VL. The latest version, DeepSeek - V3, which was launched in December 2024, has 67.1 billion parameters and was trained on a dataset of 14.8 trillion tokens. It uses FP8 training and open - sources the native FP8 weights. Benchmark tests show that it outperforms Llama 3.1 and Qwen 2.5 while matching GPT - 4O and Claude 3.5 Sonnet. In addition, DeepSeek - R1, which was officially released on January 20, 2025, performs on a par with OpenAI O1 in terms of mathematics, code, and natural language reasoning tasks. DeepSeek's models have a wide range of applications, such as chat and coding scenarios, multilingual automatic translation, image generation, and AI painting. With their high performance and low cost, DeepSeek's models have quickly gained popularity. For example, on February 2, 2025, the DeepSeek app climbed to the top of the download charts in 140 countries on the Apple App Store and also topped the Android Play Store in the United States

deepseek

AI Revolutionizes Surgical Safety and Education

Explore how AI is transforming surgical safety and education, addressing global healthcare gaps, and enhancing medical training through innovative video analysis.

by Caroline Bishop
Jan 16, 2025

deepseek

AI-Guided 3D Printing Revolutionizes Surgical Preparation

Washington State University unveils AI-powered 3D printing to create precise organ models for surgical practice, optimizing surgical outcomes.

by Felix Pinkston
Sep 22, 2024

deepseek

IBM Unveils NorthPole: An Energy-Efficient AI Chip Prototype

IBM has introduced a new prototype AI chip named NorthPole, exhibiting remarkable speed and energy efficiency, as reported in Science Magazine on October 19, 2023. The chip, showcasing a 25-fold higher energy efficiency and a 22-fold lower time latency on benchmark tests, addresses the longstanding von Neumann bottleneck by melding memory with computation on-chip. This innovation opens up avenues for applications like autonomous surgery and self-driving vehicles, with continued research on this architecture already underway at IBM.

by Zach Anderson
Oct 21, 2023

DEEPSEEK

AI Revolutionizes Surgical Safety and Education

AI-Guided 3D Printing Revolutionizes Surgical Preparation

IBM Unveils NorthPole: An Energy-Efficient AI Chip Prototype

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