An Intellyx Brain Candy Brief
Sakak CANDiY leverages federated learning to personalize LLMs for each user, compressing them to run on the user’s device.
Federated learning is a decentralized model training approach where each device trains its own local model.
User interactions with the personalized model feed back into the model, thus providing retraining that optimizes the model for the user.
Users can query each model with prompts as with general-purpose LLMs.
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