You don’t need to study computer science to work out what these tools can do. You can just ask them. That instinct is right, and it’s how most people who use AI well got started. One popular version of it does not work, though, and it happens to be the version that gets recommended most….
Transfer learning means reusing what a model has already learned on one task in order to do a different, related task. You start from a system that has absorbed a great deal of general structure, and you adapt it, instead of training something from zero. Every chat assistant you use is the product of that…
Definition: What is Zero-Shot Learning? Zero-Shot Learning is a machine learning technique allowing an AI to accurately identify, categorize, or process concepts it has never explicitly encountered during its training phase. It achieves this by understanding the semantic relationship between known attributes and applying that logic to deduce the nature of completely unknown entities. Teaching…
Imagine living your entire life locked inside a windowless room. Your only connection to the outside world is a small slot in the door. People occasionally slide pieces of paper through this slot. These papers contain text describing the world outside. You read about the color of a sunset. You read about the sound of…
Prompting, in three steps 1Start hereWhat a prompt is, and the mistakes everyone makes first 2The techniquesPatterns that reliably improve the output 3Go deeperYou are here: Chain of thought, few shot, and where prompting stops New to this? Start at step one. It takes four minutes. The interface is a deception. You open a new…
Models do not read words, they read tokens. What tokenization is, why it decides your API bill, and why the same sentence costs 118 percent more in Japanese than in English.
When AI gets it wrong, in order 1What it isYou are here: Hallucination, and why a model invents things 2Why it happensWhy a confident tone reads as truth 3Spot itThree tells, before the mistake costs you 4Fix itWhat to do once ChatGPT has already got it wrong Already had the problem? Jump to step four….
Definition: What is Explainable AI (XAI)? Explainable AI is a set of engineering methods designed to force machine learning algorithms to show their work. It translates the incomprehensible, billions-of-parameters math of a neural network into logical reasons that a human being can actually understand, verify, and trust. Let us clear the air immediately. In the…
Definition: What is AI Alignment? AI Alignment is the scientific and philosophical effort to ensure artificial intelligence systems understand, adopt, and safely pursue human values. It focuses on preventing highly intelligent machines from interpreting their programmed instructions in ways that are technically accurate but practically harmful to humanity. There is an ancient story about King…
Most definitions of a large language model open with a parameter count. For the models most people actually use, the vendors do not publish one. The word “large” is doing a lot of work here, and it turns out to cover four separate quantities. Two of them you can look up or count yourself. Two…