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9 changes: 6 additions & 3 deletions README.md
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Expand Up @@ -68,10 +68,10 @@ The results from the Colossal-AI benchmark provide the most practical insight. F

## Table of Contents
<ul>
<li><a href="#Why-Colossal-AI">Why Colossal-AI</a> </li>
<li><a href="#Why-Colossal-AI">Why Colossal-AI?</a> </li>
<li><a href="#Features">Features</a> </li>
<li>
<a href="#Colossal-AI-in-the-Real-World">Colossal-AI for Real World Applications</a>
<a href="#Colossal-AI-in-the-Real-World">Colossal-AI For Real World Applications</a>
<ul>
<li><a href="#Open-Sora">Open-Sora: Revealing Complete Model Parameters, Training Details, and Everything for Sora-like Video Generation Models</a></li>
<li><a href="#Colossal-LLaMA-2">Colossal-LLaMA-2: One Half-Day of Training Using a Few Hundred Dollars Yields Similar Results to Mainstream Large Models, Open-Source and Commercial-Free Domain-Specific Llm Solution</a></li>
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<img src="https://raw.githubusercontent.com/hpcaitech/public_assets/main/colossalai/img/JamesDemmel_Colossal-AI.png" width="600" />
</a>

Prof. James Demmel (UC Berkeley): Colossal-AI makes training AI models efficient, easy, and scalable.
> "Colossal-AI makes training AI models efficient, easy, and scalable."
>
> <p align="right">— *Prof. James Demmel, UC Berkeley*</p>

</div>

<p align="right">(<a href="#top">back to top</a>)</p>
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