AI reference
Clear AI definitions and model data you can check.
A glossary written for practitioners, research summaries, and language models compared on price, limits and capabilities, with a source and a date next to every number.
Glossary
255 terms · A–Z
Definitions first, then how it works, worked examples, formulas and code.
LLM API pricing
65 models · 5 vendors
Per-token prices from each vendor's own page, with cache, batch and long-context rates.
Models
10 model cards · 9 comparisons
Context windows, limits and capabilities, with the source behind each value.
Tools
Token counter · cost calculator
Count the tokens in your prompt, then see what a month of traffic costs on every model.
LLM changelog
27 changes · last Oct 14, 2026
Model launches, price changes and retirements, each linked to the vendor's notice.
News and research
132 articles
Pricing news, research summaries and applied machine learning explainers.
Paying for a chat app rather than the API? See chatbot subscription plans.
Fresh in the reference
Recently updated in the glossary
Featured guides
- FeaturedResearch
Genetic Algorithms Explained: How They Work, Examples and Python Code (2026)
A genetic algorithm (GA) is a search method that evolves a population of candidate solutions using selection, crossover and mutation. It treats optimization like natural…
- FeaturedResearch
AI Algorithms for Image Recognition: From CNNs to Vision Transformers, YOLO and SAM
Image recognition is the ability of software to identify what is in an image or video frame: which objects are present, where they are, and sometimes exactly which…
- FeaturedAI Education
AI in Education (2026): What Works, What the Evidence Shows, and What Schools Should Do
AI in education means using artificial intelligence, mostly chatbots and tutoring systems built on large language models, to help students learn and teachers teach. By…
Latest articles
All 132 articles
Machine Learning vs Deep Learning: The Real Differences and When to Use Each (2026)
Deep learning is a subset of machine learning that uses many-layered neural networks to learn its own features from raw data. Classical machine learning works best on tables of numbers and small data, while deep learning dominates when you…
- AI Education
Best Open-Source LLMs in 2026: The Top Open-Weight Models Compared
- AI in business
AI in Law: How Lawyers and Courts Use It, What Works and the Risks (2026)
- AI in business
Will AI Replace Jobs? What the Data Actually Shows in 2026
- AI Education
WebMCP Explained: What It Is, How It Works and How to Add It to Your Website (2026)
- Research
People Are Blurring Their Fingers in Selfies. Can AI Really Steal Your Fingerprints From a Photo?
- AI Education
AI Agents: What They Are, Types, What They Can Do and How to Set One Up (2026)
- AI Education
Prompt Engineering: What It Is, Techniques and Examples (2026)
- AI in business
AI in Social Media (2026): How Algorithms, AI Content and Moderation Really Work
- AI in business
AI in Finance and Banking (2026): What Works, What the Evidence Shows, and the Risks
- AI Education
Best AI Courses in 2026: Free and Paid, Compared (Independent Guide)
- AI in business
AI in Healthcare (2026): What Works, What the Evidence Shows, and Where It Fails
- Research
Machine Learning Algorithms: Types, How They Work and How to Choose One