Imagine a world where you interact with technology not through screens and keyboards, but simply through your voice. No tapping, […]
Voice UX & No UI: A Future Designers Must Prepare For Read More »
Many of us have grown accustomed to copy-pasting text into ChatGPT for instant answers, drafts, and creative brainstorming. But what
Still copy-pasting into ChatGPT? Here’s how to turn your ideas into AI-powered apps. Read More »
Document search has evolved far beyond simple keyword queries. With the surge of data and digital paperwork, organizations now expect
Document Search with NLP: What Actually Works (and Why) Read More »
Natural Language Processing (NLP) has witnessed remarkable advances in recent years due to breakthroughs in language modeling. Two prevailing architectures—autoregressive
A Closer Look at Autoregressive and Diffusion-Based Language Models Read More »
Large Language Models (LLMs) have revolutionized natural language processing by powering everything from chatbots to automated writing assistants. However, their
The First 1-bit LLM — BitNet 2B: A Game Changer in AI Efficiency Read More »
When it comes to the development of artificial intelligence, names matter more than one might think. The recent decision by
Named Entity Recognition (NER) is a cornerstone of Natural Language Processing (NLP), enabling machines to automatically identify and classify key
Named Entity Recognition with Python in George Eliot’s The Mill on the Floss Read More »
In the world of data engineering and analytics, the way we store, manage, and collaborate on data is rapidly evolving.
In Git We Trust: Git for Data over Data Lakes Read More »
Text classification is one of the most widely used Natural Language Processing (NLP) tasks, powering everything from spam detection to
Fine-Tuning Language Models for Text Classification: A Deep Practical Guide Read More »