Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Description: Chalk pens: Write me at: Kathryn "Doitonadime" P.O. Box 1436 Matthews, nc USA 28106-1436 Carney comments on Conservative MP's visit to Washington Richard Shimooka: A mixed F-35/Gripen ...

Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...

Abstract: Large amounts of digital data are produced daily through society’s use of government and private companies. Digital transformation contributes to the increasing amount of structured and ...

The former couple welcomed their first child together in March 2025 Sarah Jones joined PEOPLE as a Senior Reporter in 2025. She previously covered news as a field producer for Entertainment Tonight in ...

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

With the development of artificial intelligence(AI) in computer science and statistics, it has been further applied to the medical field. These applications include the management of infectious ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...