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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

a16z Crypto Highlights Code and Engineering Investments

Andreessen Horowitz (a16z) shares insights into its Code and Engineering investment focus, detailing past and potential future outcomes of their portfolio companies.

by Darius Baruo
Oct 17, 2024

deepseek

Transit Swap Losts $21m on Code Bug Exploit, Hacker Returns 70% of Stolen Funds

Transit Swap, a decentralized exchange, lost $21 million because of a software bug. The bug could have been avoided if more thorough testing had been conducted before release.

by Nicholas Otieno
Oct 03, 2022

DEEPSEEK

a16z Crypto Highlights Code and Engineering Investments

Transit Swap Losts $21m on Code Bug Exploit, Hacker Returns 70% of Stolen Funds

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