Sublime
An inspiration engine for ideas
Deep-ML
deep-ml.comwe’re willing to sacrifice efficiency for generality.
Pedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
GitHub - mit-han-lab/streaming-llm: Efficient Streaming Language Models with Attention Sinks
mit-han-labgithub.comHire based on good decision-making skills. Fire based on poor decision-making skills.
Andreas Klinger • Managing people
On one end, machine learning can track the actual value of a person's contribution to the code base — its quality, its adoption by other colleagues, and how critical it is to the functioning of the overall project.
Dror Poleg • GitHub for X
supervised learning techniques, and a few have used reinforcement learning (for
Andrew McAfee, Erik Brynjolfsson • Machine, Platform, Crowd: Harnessing Our Digital Future
Mark: Centralized systems, if you are a serious company, can allow you to train systems that will do much better personalization.
Mark Zuckerberg • Mark Zuckerberg: Meta, Facebook, Instagram, and the Metaverse | Lex Fridman Podcast #267
How to go from siloed sales and marketing to full-funnel cross-functional teams that are focused on pipeline and revenue generation:
Andrei Zinkevich • Full-Funnel B2B marketing function and cross-functional teams
6. UAI (Useful AI)