Despite increasing use of artificial intelligence (AI) in health care, a new study led by Mass General Brigham researchers ...
Background/aims Ocular surface infections remain a major cause of visual loss worldwide, yet diagnosis often relies on slow ...
Boeing engineers Kevin Kwak (foreground) and Klaus Okkelberg confer with fellow team members Arvel Chappell III and Andrew Riha (both on-screen), who worked together to prototype a large language ...
In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
Xiaomi is best known for smartphones, smart home gear, and the occasional electric vehicle update. Now it wants a place in robotics research too. The company has announced Xiaomi-Robotics-0, an ...
In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large language model behavior using MLflow. We design an evaluation pipeline ...
Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
What is and isn’t a weed that needs to be eliminated in the field is determined by the eyes of the farmer — and now, increasingly, by a new AI model from Carbon Robotics. Seattle-based Carbon Robotics ...
It looks ridiculous, but this carbon-fiber rear wing delivers more than 700 lbs of downforce, turning Tesla’s sensible electric sedan into a track weapon. Unplugged Performance unveils an aggressive ...
In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs. Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian ...
A close-up image of a time-of-flight mass spectrometer, with several metal tips all pointing at one location. Mass spectrometry, conducted with instruments such as the one shown, can uncover human ...
Reinforcement learning (RL) has demonstrated remarkable success across various decision-making domains, including games [1], [2], autonomous systems [3], [4], and robotics [5], [6], [7]. A key factor ...
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