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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

Tether Expands AI Dataset with QVAC Genesis II, Reaching 148 Billion Tokens

Tether's QVAC Genesis II release adds 107 billion tokens to the world's largest synthetic educational dataset, enhancing AI pre-training across 19 educational domains.

by Timothy Morano
Jan 08, 2026

deepseek

Tether Unveils QVAC: A New Era for AI Development on Local Devices

Tether introduces QVAC, a platform for deploying AI agents directly on user devices, ensuring privacy and autonomy without relying on centralized data centers.

by Alvin Lang
May 14, 2025

DEEPSEEK

Tether Expands AI Dataset with QVAC Genesis II, Reaching 148 Billion Tokens

Tether Unveils QVAC: A New Era for AI Development on Local Devices

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