Vishakha Gautam·1d agoDescriptive Statistics for Machine LearningHow to understand your data before modeling.
Abhijna·Oct 28How AI Actually Works: The Big Picture Before the MathsAI is not magic. Underneath ChatGPT, image generators and fraud detectors is one simple idea: learn a pattern from examples, then use it on…
Yitbarek Tesfayee·Sep 6How to Work Better with ChatGPT: A Recap of the AI Foundations CourseI used to think getting better at AI meant learning better prompts.
Alyssa Solen·Jul 21The Observer, the Builder, and the Originator“When using a language model, it is imperative to know the language.”A response icon1A response icon1
Alex Yansen·Jun 2710 The Birth of Artificial Intelligence — The Dartmouth Conference (1956) From Zero to AI…Hi everyone, I’m Yansen. Welcome back to “From Zero to AI: Reconstructing a Century of Intelligence”, Episode 10 of the series — The Dawn…
Alyssa Solen·Jun 24Origin formation: AlyssaThis is part of my Origin formation.A response icon1A response icon1
Morgan Djotaroeno·Jun 20AI does not fail. But your foundation does.A practitioner’s take on three days at Gartner Data & Analytics Summit 2026 in London
Neeraj Kushwaha·Jun 14Day 9: LLM Inference Fundamentals — Temperature, Top-P, and Sampling“The difference between a poet and a fact-checker isn’t intelligence — it’s entropy. Temperature is how you dial between the two.”
Rohit Gupta·Jun 10From Input to Intelligence: A Complete Walk Through of How Neural Networks Learn (Part-7)We’ve spent the last several articles building the pieces of a puzzle.
