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