AI & ML Research 24 Hours

Last updated: July 15, 2026, 11:30 AM ET

Evaluating RAG Systems

Engineers are developing new methods to improve the reliability of Retrieval Augmented Generation (RAG) systems. A new guide outlines how to build continuous evaluation workflows that identify retrieval failures and hallucinations before they impact users. A separate post argues that most RAG hallucinations stem from retrieval failures, suggesting that fixing the retrieval component leaves the model with less room to invent information.

Career Adaptation in the Age of AI

The rapid advancement of AI is prompting professionals to re-evaluate their career paths. One data professional shares their strategies for adapting their analytics career in response to AI's growing capabilities, expressing contentment with the evolving landscape. Meanwhile, another individual details their process for mastering data structures and algorithms in just six weeks to excel in ML coding interviews.

Emerging Technologies

Beyond AI, other technological frontiers are seeing significant progress. Psi Quantum is working on a plan to construct a large-scale quantum computer.