Accuracy test for protein language models shines light into AI 'black box'

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology ...
marktechpost

A Coding Implementation to Establish Rigorous Prompt Versioning and Regression Testing Workflows for Large Language Models using MLflow

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 ...
Microsoft

Eywa: Automating Model Based Testing using LLMs

Model-based testing (MBT), whereby a model of the system under test is analyzed to generate high-coverage test cases, has been used to test protocol implementations. A key barrier to the use of MBT is ...
EurekAlert!

Model-based control of a continuum manipulator with online Jacobian error compensation using Kalman filtering

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...
CNBC

OpenAI introduces safety models that other sites can use to classify harms

OpenAI announced two so-called open-weight reasoning models. Developers can use the models to classify a range of online safety harms based on their specific policy needs. OpenAI developed the models ...
Forbes

The Document Object Model Is Dead: Stop Testing Like It’s 2010

A common misconception in automated software testing is that the document object model (DOM) is still the best way to interact with a web application. But this is less helpful when most front ends are ...
IEEE

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning

Abstract: Vision-language models (VLMs), such as CLIP, have gained significant popularity as foundation models, with numerous fine-tuning methods developed to enhance performance on downstream tasks.
Frontiers

Evaluation of large language models on mental health: from knowledge test to illness diagnosis

Large language models (LLMs) have opened up new possibilities in the field of mental health, offering applications in areas such as mental health assessment, psychological counseling, and education.