# Artificial Intelligence Expert

https://hienglishquiz.com/vocabulary/science-technology-c2-artificial-intelligence-vocab

- CEFR: C2 (Proficient)
- Theme: Science & Technology
- Words: 22
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- Locked: no

Artificial intelligence vocabulary such as neural network, deep learning and overfitting, plus tokenisation, distillation and scaling law. Words for…

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## Word list

* **sentient**: Able to feel and to be aware of its own experience, not merely to calculate. — “Nobody seriously claims the chatbot is **sentient** yet.”
* **neural network**: A computing system of connected units, loosely modelled on the brain, that learns from examples. — “They trained a **neural network** on millions of photographs.”
* **deep learning**: A method of machine learning that uses many connected layers to study huge amounts of data, loosely based on the brain. — “**Deep learning** allowed the program to recognise thousands of objects.”
* **hallucinate** /həˈlusəneɪt/: When an AI program confidently produces false or made-up information as if it were true. — “The chatbot can sometimes **hallucinate** facts that never happened.”
* **overfitting**: A fault where a model learns its training examples too closely and then performs badly on new, unseen data. — “**Overfitting** made the model useless on real customer data.”
* **fine-tune**: To make small adjustments to an already-trained model so that it performs better on a specific task. — “Engineers **fine-tune** the model using a smaller, specific dataset.”
* **singularity** /ˈsɪŋɡjəˈlɛrəti/: A predicted point in the future when machine intelligence would surpass human intelligence and change society completely. — “Some scientists doubt the **singularity** will ever really happen.”
* **turing test**: A test in which a person tries to tell whether they are talking to a machine or another human. — “The chatbot is said to have passed the **turing test** in one trial.”
* **supervised learning**: A way of training a model using data that has already been labelled with the correct answers. — “**Supervised learning** needs thousands of correctly labelled examples.”
* **black box**: A system whose inner workings are hidden, so that even experts cannot fully explain how it reached a decision. — “Critics worry that the algorithm behaves like a **black box**.”
* **stochastic** /stoʊˈkæstɪk/: Involving randomness rather than a fixed rule. — “The process is **stochastic**, so the same input never gives the same answer twice.”
* **embedding** /ɛmˈbɛdɪŋ/: A representation of meaning as a list of numbers. — “Every word becomes an **embedding** before anything else happens.”
* **tokenisation**: The splitting of text into the units a system processes. — “Bad **tokenisation** is why it cannot count letters.”
* **distillation** /ˌdɪstəˈleɪʃən/: The training of a small system to imitate a large one. — “**Distillation** gets you most of the quality at a tenth of the cost.”
* **quantisation**: The reducing of precision so a system runs on smaller hardware. — “**Quantisation** put the whole thing on a phone.”
* **alignment** /əˈlaɪnmənt/: The work of making a system behave as its designers intend. — “Half the field now calls itself **alignment** research.”
* **emergent** /ɪˈmɜrdʒənt/: Appearing only once a system passes a certain size. — “Nobody predicted the **emergent** behaviour at that scale.”
* **interpretable**: Able to be understood by a person examining it. — “A model that is accurate but not **interpretable** is useless in court.”
* **federated** /ˈfɛdərˌeɪtɪd/: Trained across many devices without gathering the data centrally. — “A **federated** approach keeps the records on the hospital's own machines.”
* **provenance chain**: The full record of where data came from and what was done to it. — “No **provenance chain** means no defence when someone sues.”
* **hallucination** /həˌlusəˈneɪʃən/: An answer a system invents that sounds right and is not. — “One **hallucination** in a legal filing ended a career.”
* **scaling law**: The observed relationship between a system's size and how well it performs. — “Every **scaling law** eventually meets a wall nobody predicted.”

## Related

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