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tanyuqian committed Aug 8, 2024
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<h1>Home</h1>
<h1>RedCoast</h1>

<p><img alt="" src="images/redco_banner.png" /></p>
<p><strong>Red Coast</strong> (redco) is a lightweight and user-friendly tool designed to automate distributed training and inference for large models while simplifying the ML pipeline development process without necessitating MLSys expertise from users.</p>
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<li>Large Models beyond Transformers, e.g, <a href="https://github.com/tanyuqian/redco/examples/text_to_image">Stable Diffusion</a>, etc.</li>
<li>Complex algorithms beyond cross entropy, e.g., <a href="https://github.com/tanyuqian/redco/examples/meta_learning">Meta Learning</a>, etc.</li>
</ul>
<p>Check out our <a href="https://aclanthology.org/2024.naacl-demo.14/">Tech Report</a> for more details! </p>
<p>With RedCoast, to define a ML pipeline, only three functions are needed:</p>
<ul>
<li><em>Collate function</em>: convert raw data examples into model inputs (e.g., text tokenization);</li>
<li><em>Loss function</em>: execute the model and compute loss (e.g., cross-entropy);</li>
<li><em>Predict function</em> to run the model and deliver outcomes (e.g., beam search).</li>
</ul>
<p>Redco <em>automates all the remaining</em> of pipeline execution such as data parallelism, multi-host related processing, distributed checkpointing, randomness controlling, logging, etc.</p>
<p><img alt="" src="images/redco_coding.png" /></p>



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