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Update ReadMe and make the Documentation Deployment more robust (#726)
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README.md

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We've also added optimized Post-Training kernels that deliver **up to 80% memory savings** for alignment and distillation tasks. We support losses like DPO, CPO, ORPO, SimPO, KTO, JSD, and many more. Check out [how we optimize the memory](https://x.com/hsu_byron/status/1866577403918917655).
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You can view the documentation site for additional installation, usage examples, and API references:https://linkedin.github.io/Liger-Kernel/
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## Supercharge Your Model with Liger Kernel
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![Banner](https://raw.githubusercontent.com/linkedin/Liger-Kernel/main/docs/images/banner.GIF)

mkdocs.yml

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site_name: Liger-Kernel Docs
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site_dir: './doc_site'
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# site_url: https://linkedin.github.io/Liger-Kernel/
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# site_author: LinkedIn
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site_url: https://linkedin.github.io/Liger-Kernel/
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site_author: LinkedIn
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site_description: Efficient Triton Kernels for LLM Training
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theme:
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name: material

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