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

In the previous [Part 1], I explained the differences between 'Gemini,' which is good at generating new ideas, and 'NotebookLM,' which organizes information and provides accurate answers. In this ...

The latest generation of large language models—from GPT-5 onward—still struggles when tasks are spread across multiple conversation turns. Researcher Philippe Laban and his team tested current models ...

Currently used metrics for assessing summarization algorithms do not account for whether summaries are factually consistent with source documents. We propose a weakly-supervised, model-based approach ...

Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...

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 ...

LangFair is a comprehensive Python library designed for conducting bias and fairness assessments of large language model (LLM) use cases. This repository includes various supporting resources, ...

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools ...

We’ll demonstrate an end-to-end data extraction pipeline engineered for maximum automation, reproducibility, and technical rigor. Our goal is to transform unstructured PDF documentation—like the ...