Deep dive into Mixture of Experts (MOE) with the Mixtral 8x7B paper 

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Each week we dive deep into a topic in ML/AI. Whether it is a research paper, a blog post, a book, or a RU-vid video, we break down the content into a digestible format and have an open discussion with the Oxen.ai team, and anyone else who wants to join. We try to cover the content as high level so that anyone can understand it, and will dive into deeper technical details to get a clearer understanding.
This week we cover the Mixtral paper from the team at Mistral.ai. This paper goes over how Mistral used Mixture of Experts (MOE) in their latest Mistral-8x7B-instruct-1.0 paper to achieve better performance than larger models as well as competitive performance with GPT-3.5.
All the notes and previous dives can all be found on the Oxen.ai blog:
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