AI Explained
Artificial intelligence in plain English.
What is reinforcement learning from human feedback?
RLHF turns human preferences into a training signal, helping AI models give more useful answers while still leaving important limits.
What is AI alignment, in plain English?
AI alignment means getting AI systems to follow real human intent, not shortcuts. Here is why it matters, where it…
Embeddings: how AI turns meaning into numbers
AI embeddings turn meaning into numbers so software can compare ideas, power smarter search and retrieve useful context for AI…
Inference: What Happens When an AI Model Answers You
What inference means when an AI model turns your prompt into an answer.
What is explainable AI, and why is it so hard to explain AI decisions?
Explainable AI helps people understand AI-assisted decisions, but complex models rarely give simple reasons. Here is what useful explanations should…
What is edge AI, and why run AI on a device instead of in the cloud?
Edge AI runs models on phones, laptops and sensors. Learn why local AI can help with speed, privacy and offline…
What is open source AI, and is it really open?
Open source AI is not one simple label. Learn how weights, code, data and licences decide what is genuinely open…
What is synthetic data, and why do AI companies use it?
Synthetic data is artificially generated data that mimics real data. AI companies use it for scale, privacy and edge cases,…
What is model drift, and why can AI behaviour change over time?
Model drift explains why AI behaviour can change over time, and how to monitor important AI workflows before reliability slips.
What is AI evaluation, and how do people test whether a model is safe to use?
AI evaluation tests how a model actually behaves across accuracy, safety, bias and robustness. Here is why it matters and…