Update README.md

README.md

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   <img src="https://cdn-uploads.huggingface.co/production/uploads/650c7fbb8ffe1f53bdbe1aec/DTjDSq2yG-5Cqnk6giPFq.jpeg" width="50%" height="auto"/>
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-<h4 align='center', style='font-size: 16px;' >A Custom Model Enhanced for Educational Contexts: This specialized model integrates slide-text pairs from machine learning classes, leveraging a unique training approach. It connects a frozen pre-trained vision encoder (SigLip) with a frozen language model (Phi-2) through an innovative projector. The model employs attention mechanisms and language modeling loss to deeply understand and generate educational content, specifically tailored to the context of machine learning education. </h4>
+<p align='center', style='font-size: 16px;' >A Custom Model Enhanced for Educational Contexts: This specialized model integrates slide-text pairs from machine learning classes, leveraging a unique training approach. It connects a frozen pre-trained vision encoder (SigLip) with a frozen language model (Phi-2) through an innovative projector. The model employs attention mechanisms and language modeling loss to deeply understand and generate educational content, specifically tailored to the context of machine learning education. </p>
 
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 3B parameter model built by <a href="https://www.linkedin.com/in/manishkumarthota/">@Manish</a> using SigLIP, Phi-2, Language Modeling Loss, LLaVa data, and Custom setting training dataset.