MLX links

Author: mrs83

public/index.html

@@ -184,7 +184,7 @@ <h4 class="text-2xl font-bold text-gray-800 mb-4 text-center">Services for Bloss
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                             <h4 class="text-2xl font-bold text-gray-800 mb-2">BlossomTuneLLM-MLX</h4>
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-                                A native implementation of our federated fine-tuning initiative for Apple Silicon. <br /><br /> By leveraging the MLX-LM framework, this project enables on-device federated learning on MacOS, reducing reliance on expensive cloud GPUs and championing privacy and sustainability.
+                                A native implementation of our federated fine-tuning initiative for <a href="https://opensource.apple.com/projects/mlx/">Apple Silicon</a>. <br /><br /> By leveraging the <a href="https://github.com/ml-explore/mlx-lm">MLX-LM</a> framework, this project enables on-device federated learning on MacOS, reducing reliance on expensive cloud GPUs and championing privacy and sustainability.
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                             <a href="https://github.com/ethicalabs-ai/BlossomTuneLLM-MLX" class="text-indigo-600 hover:text-indigo-800 font-medium transition-colors">
                                 View on GitHub →
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                             We extend our expertise to provide dedicated services for building custom on-device AI applications on MacOS.
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-                            <li><strong>Custom Local-AI Application Development:</strong> We design and build personalized applications specifically for MacOS using the MLX framework.</li>
+                            <li><strong>Custom Local-AI Application Development:</strong> We design and build personalized applications specifically for MacOS using the <a href="https://github.com/ml-explore">MLX framework.</a></li>
                             <li><strong>Federated Learning as an Opt-in:</strong> We integrate federated learning as a secure, opt-in feature, ensuring user data never leaves the device while still contributing to model improvements.</li>
                             <li><strong>On-Device Workflows:</strong> We help you orchestrate and manage local AI/ML pipelines, from fine-tuning to deployment, optimized for Apple hardware.</li>
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