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Ontocord.AI commited on May 16, 2023

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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.

 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.