On why LLMs are just like medical doctors
Recent Posts
Some of my favorite Recsys resources and links
Introduction to recommender systems: Basics and classic techniques Beyond the basics Ranking Factorization machines Explore/exploit Full page optimization Co...
Towards Reinforcement Learning with AI Feedback (RLAIF). What open-sourced foundation models, instruction tuning, and other recent events mean for the future of AI
A few weeks back I shared my thoughts on how things were going to evolve in the race to build better/larger/smarter generative AI models, and particularly LLMs. Here is what I had to say:
Blueprints for recommender system architectures: 10th anniversary edition
Ten years ago, we published a post in the Netflix tech blog explaining our three-tier architectural approach to building recommender systems (see below). A lot has happened in the last 10 years in ...
2022: A Year in Books
I have always loved reading. For the past 3 years I have also gotten into audiobooks, which has increased my book consumption dramatically. I listen to many audiobooks, and then buy in paper those...
ChatGPT: hype or revolution
“We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” - Amara’s law
A new chapter
(Read my cofounder Neal Khosla’s version in Curai’s blog )