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thanks to a tip from a fellow BirdNET user.

That had the effect of [decoupling] the computational requirements of processing a large input array from those required to make a network very deep.Also: Metas data2vec is a step toward One Neural Network to Rule Them AllAs Jaegle and team put it.

Other examples include Googles Pathways.recently adapted a neural network they introduced last year.the Perceiver AR can run more symbols from input through the same number of layers.

and that is an important issue in the ethics of deep learning for society.As the input data grows longer.

 Perceiver AR can learn to perfectly recognize long-context patterns over distances of at least 100k tokens on a synthetic copy task.

a recursive operation that forms an attention map of how multiple elements relate to one another.so it was already in a ArgonOne SSD case with a 240GB SSD.

using a USB extension cable to keep the mics built-in sound card away from interference from the Pi.All you need is a recent Raspberry Pi running a 64-bit version of the Bullseye release of Raspberry Pi OS.

allowing you to run machine-learning models on surprisingly small devices.My second attempt used a USB sound card that promised a microphone input and a basic lapel microphone.