Rahul Baboota
Computer Science Junior
Mistral AI
What's the Hype?
Apart from their logo
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A LOT of money has been raised
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Seed: $112M
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Series A: $415M
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European Rival to OpenAI
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Focus on being truly "Open"
Mixtral 8*7
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Flagship Open Source model
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Decoder Only Transformer
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Released under Apache license
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Outperforms Llama 2 and GPT 3.5 on most tasks
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Instruction Tuned
Sparse Mixture of Experts
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At the core is MoE.
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It uses 8 experts.
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Model is 7B.
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Hence, 8*7.
Sparse Mixture of Experts
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Uses gating mechanism for routing.
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Router is simply a softmax layer.
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Top K where K = 2.
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Has a total of 46.7B parameters but has an active count of 13B
Performance
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Comparisons primarily against Llama 2 - 70B and GPT 3.5
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Much lower parameter count of 13B active parameters lends to faster inference
Mixtral
By Rahul Baboota
Mixtral
An Introduction to the different methods of Feature Selection in Python .
