How-To Geek on MSN

I install these 9 Python tools on every new machine

These are my go-to libraries for Python data crunching.

New Alibaba AI framework skips loading every tool, cutting agent token use 99%

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Google introduces a faster, cheaper image generator with Nano Banana 2 Lite

Google is updating its image generator to make it faster and cheaper, making it a more useful tool for creators looking to ...
How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
Tech Times

Qualcomm Closes $3.9 Billion Modular Deal: Meta Validates Full-Stack CUDA Challenge

Qualcomm confirmed a $3.92 billion all-stock deal to buy AI software startup Modular, paired with a Meta Platforms CPU ...
IEEE

Are Requirements Really All You Need? Using LLMs to Generate Configuration Code: A Case Study in Automotive Simulations

Abstract: Large Language Models (LLMs) are taking many industries by storm. They possess impressive reasoning abilities and are capable of handling complex problems, as shown by their steadily ...
GitHub

VizBot: Graph Generation Using Multi-Agent LLM Models to Derive Space Insights

A dissertation project implementing VizBot, a natural language to SQL chatbot that connects to PostgreSQL, generates interactive visualizations, and derives insights using Large Language Models (LLMs) ...
Journal of Medical Internet Research

Large Language Model–Driven Knowledge Graph Construction in Sepsis Care Using Multicenter Clinical Databases: Development and Usability Study

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...
IEEE

A Preliminary Study on Dynamic Urban Knowledge Graph Construction using Heterogeneous Spatio-temporal Data

Abstract: Knowledge Graphs (KGs) have recently emerged as a powerful tool for extracting directed multi-relational "knowledge" from structured facts within massive urban mobility data, supporting ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...