Why aren't languages/frameworks offering retrained models for their project?

Posted by ckluis on Sunday June 07, 2026 @08:32AM
from the self-post dept.

The cost of training is coming down.

We have incredible open source models (especially smaller ones) like qwen 3.6-27b.

Imagine the more niche languages/frameworks getting a model rebuilt for them: zig, haskell, elixir/ash, f#, IHP, jetzig, etc.

I could imagine that there would be tremendous value in a language + framework model like: zig + jetzig that is explicitly trained on the materials and best practices for these.

Which begs the question - at what point does it make sense to make a model specifically for narrower and narrower contexts. How much faster/better could they become?

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Re:Why aren't languages/frameworks offering retrained models... by mmarian on Sunday June 07, 2026 @09:49AM (#48434862)

I remember seeing somewhere that LLMs performed on a niche subset of data perform worse than general ones. RAG is probably best here.

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