InfoWorld

7 newer data science tools you should be using with Python

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
GitHub

Python: set maximum number of invocations for each tool and more complete tool usage behavior including output tool result directly

Currently, the @ai_function function doesn't let you set maximum number of invocations. It would be great to be able to configure this. Same for MCP tools as well. We can also have a similar option ...
IEEE

An Adaptive ML Framework for Power Converter Monitoring via Federated Transfer Learning

Abstract: This study explores alternative framework configurations for adapting thermal machine learning models for power converters by combining transfer learning (TL) and federated learning (FL) in ...
GitHub

LLM-Guided Learning for Classical Machine Learning

This repository contains the implementation and experimental results for our paper "LLM-Guided Learning for Classical Machine Learning: A Novel Teacher-Student Framework". We propose a novel framework ...
IEEE

AI-Auditor: A Data Auditing Framework for Enhancing the Trustworthiness of AI Models

Abstract: Artificial intelligence (AI) is now widely adopted across fields, prompting AI companies to deploy models to the cloud for cost, resource, and scalability benefits. However, these ...