Framework · 1 note · discussed by Edwin Chen

Supervised Fine-Tuning

Every note in the archive that names Supervised Fine-Tuning: summaries, key takeaways and links to the original essays, episodes and posts. Ask a question below to get a cited answer from just these notes’ authors.

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Lenny’s Podcast97 min

The 100-person AI lab that became Anthropic and Google's secret weapon

Edwin Chen · Dec 7, 2025
Key learnings
  • Define quality in rich, specific terms for each domain (e.g., what makes a poem Nobel-worthy, not just whether it has eight…
  • Gather thousands of signals on each worker and task, from background and expertise to performance, and use them like an ML…
  • Don't trust benchmarks at face value: many contain wrong answers, and optimizing for them can make models worse at messy…