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Comments on Building a language model completely from scratch

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Building a language model completely from scratch

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What I would like to do

I would like to try to build a language model 100% from scratch if possible, for a learning experience. That means no external libraries and no pre-curated datasets.

  • It is ok if the performance is terrible.
  • If it is usable for anything, that might be a plus.

Languages

My best language is Python, but I’m open to doing this in a low-level language, like C or Rust; or, possibly JavaScript, or even Haskell. I guess this means it is the abstract structure of the program that interests me, not as much the specific language-specific code that implements it.

Rough idea

I would code a very simple version of the algorithm used in an LLM, presumably a transformer if possible, and to generate the data on my own, I would either write my own independent web crawler, or it would be cool if I could train it off my own language data that I generate somehow - even by talking to the model. Even if in a very restricted and small vocabulary or something.

What I need help with

Please submit concrete information about the architecture of the code, as opposed to external reference materials.

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2 comment threads

Question is not bad (3 comments)
Too broad? (1 comment)
Too broad?
Alexei‭ wrote 3 months ago

This is a big topic (Transformer Architecture, data processing, training, attention mechanisms, evaluation, tuning, etc.) and I do not think this is answerable in Codidact's format.

The Narrated Transformer Language Model might help get you started.