AlexaTM
AlexaTM is a neural network-based language model developed by Amazon to enhance natural language understanding.
Plain-language definitions of the vocabulary used across machine learning, model architectures, tooling and AI safety. Every entry opens with a one-sentence definition, then explains where the term is used.
AlexaTM is a neural network-based language model developed by Amazon to enhance natural language understanding.
AlexNet is a convolutional neural network architecture that revolutionized image classification through deep learning techniques.
An algorithm is a step-by-step procedure or formula for solving a problem or completing a task.
Algorithm complexity is a measure of the computational resources required by an algorithm, typically in terms of time and space.
Algorithm marketplace is an online platform where developers and businesses can buy, sell, or share algorithms for various applications.
Algorithmic bias is the systematic and unfair discrimination embedded in computer algorithms that affects decision-making processes.
Algorithmic Impact Assessment is a systematic process to evaluate the potential effects and risks of an algorithm before its deployment.
Aliasing is the distortion or overlap of signals that occurs when a continuous signal is sampled at too low a frequency, causing different signals to become indistinguishable.
Alignment is the process of arranging elements or strategies in a consistent and harmonious way to achieve a common goal.
Alignment Problem is the challenge of ensuring that artificial intelligence systems act according to human values and intentions.
AllenNLP is an open-source natural language processing library designed to support research and applications in developing deep learning models.
An allophone is a variant sound of a phoneme that appears in specific contexts within a language.
An Alpaca is a domesticated species of South American camelid, similar to a llama, valued for its soft and luxurious wool.
AlphaCode is a sophisticated AI-driven coding assistant developed by DeepMind, designed to help programmers solve complex coding challenges.
AlphaGo is an artificial intelligence program developed by DeepMind that plays the board game Go at a professional level.
AlphaZero is an advanced artificial intelligence program developed by DeepMind that uses reinforcement learning to master complex games like chess, shogi, and Go without human input.
Altaic is a proposed language family that includes several languages spoken in Central Asia, Eastern Europe, and parts of Northeast Asia.
Altair is a bright star in the constellation Aquila, known for its proximity to Earth and significance in astronomy and navigation.
Alternating Least Squares is a matrix factorization technique used to predict missing values and build recommendation systems.
Alternative credit scoring is a method of evaluating creditworthiness using non-traditional data sources instead of standard credit reports.
Alternative data is non-traditional data sourced outside of standard databases used to gain unique insights for business and investment decisions.
Ambiguity is the presence of two or more possible meanings within a single word, phrase, or situation.
Analytics is the systematic process of collecting, measuring, and interpreting data to gain actionable insights and improve decision-making.
Anaphora resolution is the process of determining what a pronoun or a noun phrase refers to in a text.
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The TiorAI AI Glossary is a free reference of 3,885 artificial intelligence terms, each defined in plain English. Every entry opens with a one-sentence definition that stands on its own, then explains where the term is actually used and how it sits next to the ideas around it. There is nothing to sign up for and nothing to download: each definition has its own page and its own URL, so a term you needed once can be linked to and found again.
They combine, and none of them cancels the others. The A to Z strip narrows the index to a single initial, with the # key collecting the entries that begin with a digit or a symbol and that no letter would reach. The category filter cuts the glossary to one of sixteen subject areas, among them Machine Learning, Deep Learning and Neural Networks, Natural Language Processing, Computer Vision, Generative AI, Reinforcement Learning, AI Agents and Systems, MLOps and Infrastructure, Data and Analytics, and AI Ethics. The search field matches names and definitions, so a concept you can only half-name still surfaces. Every combination has its own URL, which means a narrowed view can be bookmarked or sent to a colleague.
The vocabulary of modern AI, at the three depths people arrive needing. The fundamentals a first week runs into — model, parameter, training, inference, overfitting. The architecture behind current systems — transformers, attention, embeddings, diffusion, retrieval-augmented generation. And the operational and governance language that turns up in a procurement review or a policy document — fine-tuning, hallucination, alignment, model drift, bias. Terms are defined as they are used in practice rather than as they appear in a paper abstract.
Each entry leads with the answer. The opening sentence says what the term means without assuming the rest of the page, which is what makes an entry useful to someone who arrived from a search with exactly one question. The explanation underneath is for the reader who wants more than that: what the idea is commonly confused with, what it looks like in practice, and which neighbouring terms are worth reading next. The card in the index above shows the opening of that definition, so you can tell from the results whether an entry is the one you want.
A glossary answers what something means; it is not the place that tells you what to do about it. Where a concept has products behind it, the AI tools directory is where they are listed, and where it has a working instruction behind it, the prompt library is where that lives. Entries link out to those when the link earns its place, and the glossary stays what a glossary is — the definitions, ordered so they can be browsed, and written so a single one can be read on its own.
Alphabetically by term name, which is the order a reference work is browsed in and the order every page of this archive has always used. The sort menu can switch it to reverse alphabetical, or to recently added and recently updated if you want to see what has changed.
It narrows the index to terms whose name begins with that character, and it keeps whatever else you have set — a category filter, a search, a sort — so you can move between letters without starting again. The # entry collects the terms that begin with a digit or a symbol, which no letter would reach.
Entries that span several areas, or that predate the current category set, sit under “Other”. It holds a large share of the glossary, so the filter is most useful for narrowing to a named topic rather than for excluding one.
A short definition in plain language, then a longer explanation of where the term is used and how it relates to neighbouring concepts. The card above shows the opening of that definition; the entry itself also links to related terms and, where relevant, to the AI tools that implement the idea.
The field at the top matches term names and definitions, so a concept you can only half-name will usually surface. Search combines with the category filter and the letter strip, and every combination has its own URL, so a narrowed view can be bookmarked or shared.