Update README.md

README.md

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 Volunteers from:
 Bedrock AI, TurkuNLP, ETH, Redmond.AI, Incite, MICS CentraleSupelec, Centro de Excelência em Inteligência Artificial, VietAI, Technion - Israel Institute of Technology, Nous Research, University of Western Australia, KoboldAI Community, LAION.AI, Mila,  Luleå University of Technology,  Juelich Supercomputing Center, Tokyo Tech, RIKEN, Together
 
+- (Try out our current proof of concept)[https://huggingface.co/Multi-Domain-Expert-Layers/MDEL-theblackcat-chat-5-experts/]
 
 Open sourcing AI models can lead to increased innovation, accessibility, transparency, and community building. However we need a mechanism to train more capable models in an efficient and modular way.
 
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 We will be using a varient of the c-BTM (https://arxiv.org/pdf/2303.14177v1.pdf) method and will be focusing on models around 7-20B parameters. 
 
+## We are also adding multimodal both understanding and generation and multilingual training with context length of at least 65K tokens.
+
 If you are interested in contributing to this project, please reach out to us and learn more about how you can get involved at [email protected]. 
 
 Let's work together to create open-source models that benefit everyone! 🤝 #AI #MDEL #Supercomputers #Summit #OpenSource #Innovation #VolunteersNeeded #OpenScience #DemocratizeAI