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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

California Advances in Generative AI with New Report

The Newsom Administration's report on Generative AI outlines California's approach to regulating and embracing this technology, emphasizing education and workforce training for responsible use.

by Luisa Crawford
Nov 27, 2023

deepseek

Indian Government Deploys Blockchain and AI to Enhance Supply Chain

The Indian government has deployed high-end technologies like blockchain and artificial intelligence (AI) in its public procurement portal (GeM) to enhance trade.

by Brian Njuguna
Jan 05, 2021

DEEPSEEK

California Advances in Generative AI with New Report

Indian Government Deploys Blockchain and AI to Enhance Supply Chain

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