Everything you need to know about how we analyzed the 13,000+ comments submitted in the federal government’s request for ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

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

Deploying AI agents for repository-scale tasks like bug detection, patch verification, and code review requires overcoming significant technical hurdles. One major bottleneck: the need to set up ...

Have you ever wished Excel could do more of the heavy lifting for you? Imagine transforming hours of tedious data cleaning and analysis into just a few clicks. That’s exactly what Microsoft’s ...

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

ReportLab and fpdf2 are the top choices for flexible and efficient Python PDF generation. HTML-to-PDF tools like WeasyPrint and PDFKit simplify web-to-document workflows. Python PDF generator ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

As taught at the Vrije Universiteit Amsterdam in the Humanities Research Master: Linguistics (track Human Language Technology) and the Minor Digital Humanities and Social Analytics (BA). In case you ...

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...

On Monday, a group of university researchers released a new paper suggesting that fine-tuning an AI language model (like the one that powers ChatGPT) on examples of insecure code can lead to ...