Tag
machine-learning
Published articles tagged machine-learning.
A short history of Artificial Intelligence
Artificial intelligence did not start with chatbots. It went through decades of bold predictions, two funding collapses, and a slow shift from hand-written rules to learning from data. This overview follows that path from the 1940s to the language models of the late 2010s.
AI basic concepts
Model, training, token, prompt, context window, hallucination: a small set of terms explains most of what is said about AI. This overview defines each one in plain language and shows how they fit together, without math and without a specific product in mind.
AI versus non-AI
A traditional program follows rules a developer wrote. An AI system follows rules it learned from examples, or instructions written in plain language. This comparison shows what that changes for correctness, testing, cost, and failure, and when each approach is the right one.
How large language models are built
A chat assistant is the end of a long pipeline: collecting text, training a model to predict the next token, teaching it to follow instructions, aligning it with human preferences, and testing it before release. This article walks through each stage and what it adds to the finished model.