Why Your 'Accurate' AI Model Might Still Be Dangerously Wrong: The Hidden Importance Of Model Calibration

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.
InfoWorld

Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

LLMs tend to lose prior skills when fine-tuned for new tasks. A new self-distillation approach aims to reduce regression and ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
VentureBeat

What's a NIM? Nvidia Inference Microservices is new approach to gen AI model deployment that could change the industry

Nvidia is aiming to dramatically accelerate and optimize the deployment of generative AI large language models (LLMs) with a new approach to delivering models for rapid inference. At Nvidia GTC today, ...
Business Wire

Vultr Launches Cloud Inference to Simplify Model Deployment and Automatically Scale AI Applications Globally

WEST PALM BEACH, Fla.--(BUSINESS WIRE)--Vultr, the world’s largest privately-held cloud computing platform, today announced the launch of Vultr Cloud Inference. This new serverless platform ...
Nature

Uncertain Regression Models and Imprecise Observations

Uncertain regression models represent an evolving paradigm in statistical analysis, designed to address the challenges posed by imprecise observations. Traditional regression techniques typically ...
techtimes

The Role of Assumptions in Statistical Model Selection

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...