Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and relatively slow, and…
This post is co-written with Marta Cavalleri and Giovanni Germani from Fastweb, and Claudia Sacco and Andrea Policarpi from BIP…
Retrieval-augmented generation (RAG) supercharges large language models (LLMs) by connecting them to real-time, proprietary, and specialized data. This helps LLMs…
Barry Wilmore and Suni Williams will now come home in March at the earliest, to allow SpaceX and NASA engineers…
Scientists have developed swarms of tiny magnetic robots that work together like ants to achieve Herculean feats, including traversing and…
In a new study, participants tended to assign greater blame to artificial intelligences (AIs) involved in real-world moral transgressions when…
The adoption of machine learning (ML) continues at a rapid pace, as it has proven itself a powerful tool for…
Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source…
Teleoperation for robot imitation learning is bottlenecked by hardware availability. Can high-quality robot data be collected without a physical robot?…
This article is the first in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented…