Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escaping: Escape characters +-&|!(){}[]^"~*?:\ with \, e.g. \+
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Answered
Hi Team,

Hi Team, @<1537605940121964544:profile|EnthusiasticShrimp49> ,in cleargpt they are ingesting data from different sources as raw data.is they doing supervised finetunning or unsupervised finetunning?

  
  
Posted 8 months ago
Votes Newest

Answers 2


@<1533257278776414208:profile|SuperiorCockroach75> , excuse my ignorance, but doesn't it depend on the output model i.e. the training run that created it?

  
  
Posted 8 months ago

Hello @<1533257278776414208:profile|SuperiorCockroach75> , thanks for asking. It’s actually unsupervised, because modern LLMs are all trained to predict next/missing words, which is an unsupervised method

  
  
Posted 8 months ago
437 Views
2 Answers
8 months ago
8 months ago
Tags