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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

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CEO Of BTCS Explains How The Company Surpassed $1M In Crypto Assets

BTCS Inc. is a publicly-traded cryptocurrency and blockchain company that recently surpassed the $1 million milestone in crypto assets under management (AUM). The landmark achievement comes after crypto prices recovered from the mid-March slump (Black Thursday). Reports indicate that Bitcoin-focused crypto hedge funds are outperforming their more-traditional counterparts. BTCS plans to pursue a measured approach to diversifying its current cryptocurrency holdings. BTCS shares are up more than 215% year-to-date.

by News Publisher
Aug 21, 2020

DEEPSEEK

CEO Of BTCS Explains How The Company Surpassed $1M In Crypto Assets

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