Update README.md

README.md

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 <p align="center">
   <b>AI Native Product Search and Discovery</b><br>
-   Marqo is an AI-native ecommerce search platform built for online brands in fashion, beauty, electronics, and home goods. Powered by best-in-class semantic search and personalization technology, the platform leverages clickstream, purchase, and event data to understand shopper intent and deliver fast, relevant, and personalized search results and product recommendations. 
+   Marqo is an AI-native ecommerce search platform built for online brands in fashion, beauty, electronics, and home goods. Powered by best-in-class semantic search and personalization technology, the platform leverages clickstream, purchase, and event data to understand shopper intent and deliver fast, relevant, and personalized search results, product recommendations and conversational discovery. 
 </p>
 
-<p align="center">
-  <b>Explore Our Repositories</b><br>
-  <ul>
-    <li><a href="https://github.com/marqo-ai/marqo">Marqo</a>: The core embedding generation and search engine.</li>
-    <li><a href="https://github.com/marqo-ai/GCL">GCL</a>: Generalized Contrastive Learning for multimodal retrieval.</li>
-    <li><a href="https://github.com/marqo-ai/marqo-FashionCLIP">FashionCLIP</a>: SOTA image and text embeddings for fashion search, recommendations and classification.</li>
-    <li><a href="https://github.com/marqo-ai/marqo-ecommerce-embeddings">Ecommerce embeddings</a>: SOTA image and text embeddings for ecommerce search, recommendations and classification.</li>
-    <li><a href="https://github.com/marqo-ai/ecommerce-search">Ecommerce search application</a>: SOTA multimodal search and recommendations application for ecommerce.</li>
-  </ul>
-</p>
-
-<p align="center">
-  <b>Our Latest Innovations</b><br>
-  <ul>
-    <li><a href="https://www.marqo.ai/blog/introducing-marqos-ecommerce-embedding-models">Ecommerce product embeddings</a>: Our latest models for ecommerce retrieval.</li>
-    <li><a href="https://www.marqo.ai/blog/introducing-marqtune">Embedding Fine-Tuning with MarqTune</a>: Tailor embeddings to your domain for superior search results.</li>
-    <li><a href="https://www.marqo.ai/blog/search-model-for-fashion">FashionSigLIP</a>: Our latest model for fashion retrieval, combining cutting-edge techniques for enhanced search.</li>
-    <li><a href="https://www.marqo.ai/blog/generalized-contrastive-learning-for-multi-modal-retrieval-and-ranking?_gl=1*vkeuqm*_gcl_au*MTM0OTc4OTY4Ny4xNzIzNTQ0NTcy">Generalized Contrastive Learning (GCL)</a>: A framework for training robust embedding models for multimodal search. <a href="https://arxiv.org/abs/2404.08535">Read the GCL paper on arXiv.</a></li>
-    <li><a href="https://www.marqo.ai/blog/understanding-recall-in-hnsw-search">Understanding Recall in HNSW</a>: Insights into understanding and optimizing recall when using hierarchical navigable small worlds (HNSW) in vector search. <a href="https://arxiv.org/abs/2405.17813">Read the HNSW paper on arXiv.</a></li>
-    <li><a href="https://www.marqo.ai/blog/ui-concepts-for-vector-search">Designing Interfaces for Multimodal Vector Search Applications</a>:. Explore novel UI/UX concepts for implementing multi-modal vector search image search applications. <a href="https://arxiv.org/abs/2409.11629">Read the paper on arXiv.</a></li>        
-    <li><a href="https://www.marqo.ai/blog/generalized-contrastive-learning-for-multi-modal-retrieval-and-ranking?_gl=1*vkeuqm*_gcl_au*MTM0OTc4OTY4Ny4xNzIzNTQ0NTcy">Marqo-GS-10M multimodal dataset</a>:. Open source multimodal product retrieval dataset of 10M query-product pairs with both text and images. <a href="https://huggingface.co/datasets/Marqo/marqo-GS-10M">Explore the dataset!</a></li>        
-  </ul>
-</p>
 
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