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

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Next-Generation Productivity with Agentic Data Prep: Agentic Data prep will allow analysts to chat in natural language to profile datasets, generate queries, and troubleshoot complex schemas ...

People are getting excessive mental health advice from generative AI. This is unsolicited advice. Here's the backstory and what to do about it. An AI Insider scoop.

Despite widespread adoption of electronic health records (EHRs), health systems remain heavily dependent on faxed documents for critical patient information. At New York University Langone Health, ...

Plotly Cloud adds team collaboration for publishing and sharing Dash apps, with enterprise security, centralized access ...

The open Battery Data Format standard for battery testing data enables researchers, designers, and manufacturers, as well as ...

Consulting engineers have always had to deliver services far beyond design, but today’s data-driven projects are giving firms such as WSP/Power Engineers and Jacobs fresh opportunities to turn client ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

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