r/MachineLearning
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I built a compiler that turns computation graphs into the weights of a vanilla transformer — no training anywhere [P]
I've been chasing the question of what algorithms a transformer can actually express -- separate from what it can learn. So I built a compiler: define a computation graph in ordinary Python, and it produces the weights of a transformer that executes the graph. The result is a standard Phi-3-architecture checkpoint that