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Also, a lightweight network could do a first pass to identify tasks, instructions, constraints etc, and then a second pass could use the RNN.

Consider the flood fill algorithm or union-find algorithm, which feels magical upon first exposure.

https://en.wikipedia.org/wiki/Hoshen%E2%80%93Kopelman_algori...

Having 2 passes can enable so much more than a single pass.

Another alternative could be to have a first pass make notes in a separate buffer while parsing the input. The bandwidth of the note taking and reading can be much much lower than that required for fetching the billions of parameters.



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