#DeepSeek

Large-scale agentic training and evaluation with large language models (LLMs) rely on isolated, stateful execution environments in which models inspect repositories, invoke tools, execute commands, and interact with task-specific services.…

A deep dive into the DeepSeek-V4.1 Flash technical report: CED, CSA2, HSI, Single-Pass mHC, Engram and FP4 KV Cache — how the KV cache was compressed to just 890 bytes per token.

The deepseek-v4-flash-vision-exp model accepts images alongside text, so you can ask the model to describe pictures, read text from screenshots, analyze charts, and more.

DeepSeek Harness is now available in developer preview to developers building agent harnesses worldwide, with the source code released at the same time. Every agent capability is implemented as a plugin that can be swapped or recomposed.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Interviewed DeepSeek on how it works, then checked against papers. Same method as Kimi — plainer English and concept diagrams.

Contribute to ryanzhou/deepseek-v4-flash-mi300x development by creating an account on GitHub.

DeepSeek and CXMT, which have both been tagged as supporting Chinese military and intelligence operations, are set to be added to the U.S.'s Entity List.…

The Shenzhen government says a 1,000-chip Ascend cluster handled full-parameter post-training.

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