Fine-tuning
From Activity to Intent: Generating User Journeys with LLMs
Our short summary of Pinterest’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on medium.com (opens in a new tab)Problem
Pinterest needed to identify users' long‑term goals, not just the last pin they clicked.
Solution
They fine‑tuned a 4 billion‑parameter LLM to read a user's activity timeline and output ranked journey names, distilling knowledge from a larger model and deploying it at notification scale.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on medium.com (opens in a new tab)