I'm thinking that looking at the compiled code for some of the example models might actually be a good way to learn more about Hierarchical Bayesian models.
This seems like the path languages will come to evolve in. Especially with the advent of "cloud computing", I imagine a compiler which distributes processing among a remote resources can use a combination of a large company's internal code base and open source code to train ML algorithms can either provide either great code completion or build entire "ambiguous languages".
I don't know if you misunderstood or just didn't read the linked page, but this is a compiler for hierarchical Bayesian models, not a compiler that uses Bayesian inference in the process of compiling, neat as that would be.
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[ 5.6 ms ] story [ 26.4 ms ] threadI'm thinking that looking at the compiled code for some of the example models might actually be a good way to learn more about Hierarchical Bayesian models.