TL;DR A conversation with 4o about the potential demise of companies like Anthropic. As artificial intelligence (AI) continues to advance,…
Editor’s note: This is the second post in a series that explores a range of topics about upcoming AI regulation,…
David J. Berg*, David Casler^, Romain Cledat*, Qian Huang*, Rui Lin*, Nissan Pow*, Nurcan Sonmez*, Shashank Srikanth*, Chaoying Wang*, Regina…
Generative AI offers many benefits for both you, as a software provider, and your end-users. AI assistants can help users…
Today, generative AI is giving organizations new ways to process and analyze data, discover hidden insights, increase productivity and build…
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…
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?…