China continues to produce over 95% of Apple’s products

train the neural net once it has 100 trillion weights.

the self-attention stack is where the bulk of compute occurs rather than operating on myriad inputs.Experts in the field say computing tasks are destined to get bigger and biggest because scale matters.

a dilemma that has caught the attention of mainstream science journals such as Nature.That approach restores the directional quality of the Transformer.it becomes a scaling nightmare in computing terms as the number of things that have to be compared to one another in the input increases:There is a tension between this kind of long-form.

The downside of methods that use sparsity is that this sparsity must be hand-tuned or created with heuristics that are often domain specific and can be hard to tune.That includes efforts such as OpenAI and Nvidias 2019 Sparse Transformer.

pixels of an image:The same procedure can be applied to any input that can be ordered.

The result is an ability to do what the Transformer does across many more inputs but with significantly improved performance.capturing the early morning chirps of a local wren and the call of a dunnock deep in the hedge.

The spectrogram of a small flock of sparrows.All you need is a recent Raspberry Pi running a 64-bit version of the Bullseye release of Raspberry Pi OS.

Its just another of my Raspberry Pi projects.Everything is controlled from a simple console.