Federated Learning (FL) is a popular algorithm to train ma-chine learning models on user data constrained to edge devices (for example, mobile phones) due to privacy concerns. Typically, FL is trained with the assumption that no part of the user data can be egressed from the edge. However, in many…
Samba-1 is not a single model, like OpenAI's GPT-4, rather it is a combination of more than 50 high-quality AI models put together in an approach that SambaNova refers to as a Composition of Experts architecture.
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