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Out of curiosity, what use cases require training at the edge?
by c_o_n_v_e_x 4y ago
Out of curiosity, what use cases require training at the edge?
- hasperdi 4y agoI'm no expert in ML, one use case is that if you want to refine the already trained model that was trained elsewhere.
- bravura 4y agoAdditionally, privacy-preserving AI.
- fxtentacle 4y agoIn my example, it is very helpful if you can adjust a speech model a bit to better match the user's dialect. So you don't train the full model, rather you just adjust the most coarse 5% of parameters in a pre-trained model by a tiny bit. But that can lead to great quality improvements at almost no additional cost.