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Time is super short.

Plan:

  • just tokenise hacker news

  • load pre-trained Word2Vec model

  • ensure we save everything on huggingface

  • create a plan for specifically how we should use docker and the external server to push this code (have chatGPT do this)

  • finetune model on hacker news -> save to hackernews

  • randomly sub-sample 0 score posts so that there are an equal number to posts that have 1+ posts

  • train model

  • expose as an api

then do a bunch of visualisation