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Honestly not sure what domain you’re thinking of but yeah, across the board, yeah.

You did this

What’s on the watch list?

Hope you’re celebrating too — congratulations!

As a kid raised catholic… the cadence fits

That last name, what does it remind me of

Amazing. I did not know mlx-swift could do constrained generation with generable.

Atari ST kicked ass tho. MIDI ports!

Oooh I run a bot account that’s perfect for this: @bigbookoflies.vgg.lol

OCR first and then let the LLM normalize the text into JSON?

It’s a desktop RAG app. Currently uses embeddings to create document chunks, which get submitted with a RAG prompt. It’s a good point that maybe I could better tune the chunking for foundation models… but uses 512-ish token chunks very quickly the context is full.

Short context window made it a poor choice for my app.

They accidentally left some kind of barrier at the top left, weird??