As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Abstract: 3D Region-of-Interest (RoI) Captioning involves translating a model's understanding of specific objects within a complex 3D scene into descriptive captions. Recent advancements in Large ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.

LLMs can supercharge your SOC, but if you don’t fence them in, they’ll open a brand-new attack surface while attackers scale ...

Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across various tasks, but their deployment in resource-constrained environments remains challenging due to substantial ...

In recent ground tests, Boeing engineers demonstrated that a large language model running on commercial off-the-shelf hardware could examine telemetry and report in natural language on the health of a ...

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 ...

In this detailed tutorial, I’ll show you how to achieve large triangular knotless braids from start to finish. Learn how to properly prep the hair, create clean and precise triangular parting, and ...

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 ...

Nature Health presents a collection on the role of large language models (LLMs) as tools to increase accessibility to healthcare and to reduce inequalities in global health. The series will also focus ...