How LLMs Are Reshaping Recommendation Systems

Newsfeeds and recommendation systems have long relied on deep learning architectures that score each candidate item independently.

It goes beyond the title with direct discussion of like, kind, it's, including: As LLMs have matured, they have opened up a fundamentally different approach, where a system can reason about content the way it reasons about language.

1. 01However, that power comes with a fresh set of engineering challenges around cost, scale, and evaluation
2. 02LinkedIn recently rebuilt its newsfeed to treat content recommendation is a sequence modeling problem
3. 03In this episode, Tim joins Matt Merrill to discuss how LinkedIn re-engineered its feed, how the team combines LLMs with traditional signals, managing inference costs at massive sca