Ever get asked "how do LLMs work?" at a party and freeze? We walk through the full pipeline: tokenization, embeddings, inference — so you understand it well enough to explain it. Walk away with a mental model that you can use for your next dinner party.

_Full shownotes at fragmentedpodcast.com.

Show Notes

Words -> Tokens:

• OpenAI Tokenizer visualizer -
  Visualize how text becomes tokens

Tokens -> Embeddings:

• RGB Color model - wikipedia
• Word2Vec technique - wikipedia
  • Efficient Estimation of Word Representation -
    original Word2Vec paper by Mikolov et al.

Embeddings -> Inference:

• Word embedding
• Temperature, Top-k, Top-p samping

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Co-hosts:

• Kaushik Gopal
• Iury Souza

[!fyi] We transitioned from Android development to AI starting with
Ep. #300. Listen to that episode for the full story behind
our new direction.