Editors Pick

is one among the important thing techniques for reducing the memory footprint of huge language models (LLMs). It really works by converting the information variety of model parameters from higher-precision formats comparable to...

is a statistical approach used to reply the query: “How long will something last?” That “something” could range from a patient’s lifespan to the sturdiness of a machine component or the duration of...

an interesting moment in AI development. AI systems are getting memory, reasoning chains, self-critiques, and long-context recall. These capabilities are exactly a few of the things that I’ve previously written could be prerequisites for an...

: Why I Wrote This The Evolution of Tool Integration with LLMs What Is Model Context Protocol (MCP), Really? Wait, MCP feels like RAG… but is it? In an MCP-based setup In a standard RAG system Traditional RAG Implementation MCP Implementation Quick...

-up to my earlier article: The Dangers of Deceptive Data–Confusing Charts and Misleading Headlines. My first article focused on how will be used to mislead, diving right into a form of knowledge presentation...

I enjoyed reading this paper, not because I’ve met a number of the authors before🫣, but since it felt . Many of the papers I’ve written about to this point have made waves...

TL;DR: I built a fun and flamboyant GPT stylist named Glitter—and by chance discovered a sandbox for studying LLM behavior. From hallucinated high heels to prompting rituals and emotional mirroring, here’s what I learned...

You’re an avid data scientist and experimenter. You already know that randomisation is the summit of Mount Evidence Credibility, and you furthermore mght know that when you may’t randomise, you resort to observational data...