MH2Onn
MH2Onn is a term that appears in speculative AI discussions and community wikis to describe a hypothetical neural network architecture intended to enhance multitask learning by pairing a multi-head attention backbone with two distinct output channels. The term is not tied to a single formal standard and is primarily used in informal settings to explore ideas about dual-readout models.
Conceptually, MH2Onn envisions an encoder, typically resembling multi-head attention-based architectures, followed by two parallel output heads
Training and objectives for MH2Onn, as discussed in forums, usually involve a joint loss that combines the
Status and reception are typically that MH2Onn remains a conceptual or exploratory construct rather than a