Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...

As the RISC-V ecosystem grows, startups struggle to verify complex chips before tape-out. Chennai-based startup addresses ...

A Python library for interacting with the LandingAI Agentic Document Extraction REST API, designed for flexibility, reliability, clarity, and performance. Built for Python 3.9+ and generated with ...

Abstract: Large language models (LLMs) have demonstrated exceptional performance not only in natural language processing tasks but also in a great variety of non-linguistic domains. In diverse ...

The current AI regression testing systems consider the new code changes, past failures, and dependency indicators to decide which test cases are the most important to a particular release. Areas with ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

The development of this repository was inspired by the paper "AdaWorld: Learning Adaptable World Models with Latent Actions". To read the entire paper, visit https ...

The data science landscape is not merely evolving; it is undergoing a profound transformation. The graduate of 2021, equipped ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Abstract: Advancements in large multimodal models (LMMs) for text and image understanding have provided a new paradigm for semiconductor intelligent manufacturing. However, due to the ...

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 ...