Linear RNN/Reservoir hybrid generative model
one C file (no deps.). I just noticed it takes literally ~5 minutes to train millions parameters on slow CPU...but before you call Yudkowsky that "it's over", an important note: the main bottleneck is the corpus size, params are just 'cleverness' but given limited info it's powerless.
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A systems programming language where automatic differentiation is a compiler pass and model parameters are explicit, growable memory.
i
github.comAn experimental tensor DSL/compiler with explicit scheduling
A ~9M parameter LLM that talks like a small fish.
Minimum Description Length Recurrent Neural Networks (MDLRNNs) in PyTorch
Speeding up LLM inference 2x times (possibly)
asciinema.orgHere's a project I've been working on for the last few months.