~/talk

GPT or how I learned to stop worrying and love the generative AI

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slides:none on file

Shows how to load and fine‑tune GPT-2 with the transformers library, using a tiny lyrics dataset (10 examples) that fine‑tunes in about five minutes on a laptop GPU, and how decoding choices change outputs: greedy, beam search, sampling (temperature/top‑K/top‑P) versus recommending contrastive search to reduce repetition. Demonstrates a working demo chatbot using a Streamlit/chain setup, mentions NanoGPT for training medium models (claim: ~4 days on a GPU) and uses perplexity as a validation metric.

AI-written summary · about

  1. 0:00Intro
  2. 0:40What is generative AI
  3. 9:00How to use GPT
  4. 10:25Output
  5. 16:18Finetuning
  6. 21:25Questions
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