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

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

Researchers reveal Prototaxites, a giant Devonian fossil, was not a fungus or plant but a unique extinct lineage.

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

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 ...

Abstract: Refactoring is the process of restructuring existing source code to improve its internal structure without altering its external behavior. Refactoring is essential to maintaining software ...

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...

Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...

I tried applying label smoothing to my multi-label classification problem—given that my dataset is noisy and unbalanced, I thought it might help—but I ran into issue #40258 ...

Some are being nudged to learn how to use the nascent technology. Coming to the C-suite retreat: mandatory website-building exercises using A.I. tools. By Jordyn Holman In March, Andy Katz-Mayfield, a ...