hello·ai

Classifying with small models · Module B of 6

Labels and representation

What does the model see, and what does it promise to return?

Labels as an API contract, the text features that came before embeddings, and how to pick an encoder without trusting a leaderboard.

Topics in this module

Topics

🔒 Unlocks at 4 of 4 topics in Phase 1 — 0 done.
  1. B1

    Labels and label encoding Planned

    Labels are the model’s API contract; encoding turns them into numbers.

  2. B2

    TF-IDF Planned

    Word weights that favour rare words, with no notion of synonyms.

  3. B3

    Choosing an encoder Planned

    Four families, the raw-BERT trap, contrastive training, retrieval vs similarity.

  4. B4

    Model cards and bake-offs Planned

    Filter by hard limits, then test on your own data.