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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

OpenAI Abandons SWE-bench Verified After Finding 59% of Failed Tests Were Flawed

OpenAI reveals major contamination issues in SWE-bench Verified benchmark, showing frontier AI models memorized solutions and tests rejected correct code.

by Rebeca Moen
Mar 04, 2026

deepseek

Together AI Drops Largest Open Dataset for Training Coding Agents

TogetherCoder-Preview releases 161K verified coding trajectories achieving 59.4% on SWE-Bench, giving developers unprecedented training data for AI agents.

by Rongchai Wang
Feb 05, 2026

DEEPSEEK

OpenAI Abandons SWE-bench Verified After Finding 59% of Failed Tests Were Flawed

Together AI Drops Largest Open Dataset for Training Coding Agents

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