Editors Pick

What My GPT Stylist Taught Me About Prompting Higher

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...

Regression Discontinuity Design: How It Works and When to Use It

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...

Rust for Python Developers: Why You Should Take a Take a look at the Rust Programming Language

language Rust is now appearing in lots of feeds because it offers a performant and secure method to write programs and places great emphasis on performance. When you come from the Python world...

Construct and Query Knowledge Graphs with LLMs

Graphs are relevant A Knowledge Graph could possibly be defined as a structured representation of knowledge that connects concepts, entities, and their relationships in a way that mimics human understanding. It is commonly used to...

From FOMO to Opportunity: Analytical AI within the Era of LLM Agents

“fear of missing out” (FOMO) relating to LLM agents? Well, that was the case for me for quite some time. In recent months, it appears like my online feeds have been completely bombarded by...

Select the Right One: Evaluating Topic Models for Business Intelligence

are utilized in businesses to categorise brand-related text datasets (akin to product and site reviews, surveys, and social media comments) and to trace how customer satisfaction metrics change over time. There's a myriad of...

Retrieval Augmented Generation (RAG) — An Introduction

. We’ve all heard or experienced it. Natural Language Generation models can sometimes hallucinate, i.e., they begin generating text that just isn't quite accurate for the prompt provided. In layman’s terms, they begin ...

Layers of the AI Stack, Explained Simply

of Contents Introduction The AI space is an enormous and sophisticated landscape. Matt Turck famously does his Machine Learning, AI, and Data (MAD) landscape yearly, and it all the time seems to get crazier and crazier....

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