Comment by omneity

See my other comment. The answer is transfer learning: leveraging massive amounts of data in one language like Python, a few bridges to another language like Ruby, and obtain a “native” result in the other language.

But in this case the LLM is not exposed to explicit translation pairs between these two languages and rather by seeing enough examples in similar contexts, LLMs transfer some of their learnings in Python to Ruby (for better or worse results)