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Update README.md #173

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4 changes: 2 additions & 2 deletions README.md
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<div align="center">

OpenSeek is dedicated to uniting the global open-source community to drive collaborative innovation in algorithms, data, and systems, with the goal of developing next-generation models that surpass DeepSeek.
OpenSeek is dedicated to uniting the global open-source community to drive collaborative innovation in algorithms, data, and systems, with the goal of developing next-generation models.
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@gemini-code-assist gemini-code-assist Bot Dec 7, 2025

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medium

This sentence is very similar to the introductory sentence of the 'Project Overview' section on line 36. Having two slightly different, long descriptions of the project's goal can be redundant and may lead to inconsistencies in the future.

To improve clarity and reduce redundancy, I suggest making this centered description a more concise and distinct tagline. This would better serve its purpose as a summary and differentiate it from the detailed overview below. Here is a suggestion:

Suggested change
OpenSeek is dedicated to uniting the global open-source community to drive collaborative innovation in algorithms, data, and systems, with the goal of developing next-generation models.
OpenSeek: Building next-generation models through collaborative open-source innovation.


English| [简体中文](README_zh.md)

Expand All @@ -33,7 +33,7 @@ English| [简体中文](README_zh.md)
</div>

# 📌 Project Overview
OpenSeek is an open source project initiated by the Beijing Academy of Artificial Intelligence (BAAI), aiming to unite the global open source communities to drive collaborative innovation in algorithms, data and systems to develop next-generation models that surpass DeepSeek. Drawing inspiration from large model initiatives like Bigscience and OPT, the project is dedicated to building an independent open source algorithmic innovation system. Since the open sourcing of the DeepSeek model, academia has seen numerous algorithmic improvements and breakthroughs, but these innovations often lack complete code implementations, necessary computational resources, and high-quality data support. The OpenSeek project aims to explore high-quality dataset construction mechanisms through uniting the open source community, promote open sourcing of the entire large model training pipeline, build innovative training and inference code to support various AI chips besides Nvidia, and promote independent technological innovation and application development.
OpenSeek is an open source project initiated by the Beijing Academy of Artificial Intelligence (BAAI), aiming to unite the global open source communities to drive collaborative innovation in algorithms, data and systems to develop next-generation models. Drawing inspiration from large model initiatives like Bigscience and OPT, the project is dedicated to building an independent open source algorithmic innovation system. Since the open sourcing of the DeepSeek model, academia has seen numerous algorithmic improvements and breakthroughs, but these innovations often lack complete code implementations, necessary computational resources, and high-quality data support. The OpenSeek project aims to explore high-quality dataset construction mechanisms through uniting the open source community, promote open sourcing of the entire large model training pipeline, build innovative training and inference code to support various AI chips besides Nvidia, and promote independent technological innovation and application development.

**Objectives of OpenSeek:**
- **Advanced data technology**: Address the challenge of acquiring high-quality data.
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