Technology Vocabulary

#441

Large language model

Example sentences

1. A large language model learns patterns from a very large amount of text.
2. The assistant uses a large language model to answer questions.
3. A large language model may produce a confident but incorrect answer.

#

#442

Foundation model

Example sentences

1. A foundation model can be adapted for many different tasks.
2. The company built several tools from one foundation model.
3. Training a foundation model usually requires large amounts of data and computing power.

#

#443

Transformer

Example sentences

1. A transformer is a type of model that studies relationships between parts of data.
2. Many modern language systems use a transformer.
3. The transformer can pay attention to important words in a sentence.

#

#444

Token

Example sentences

1. A token is a small unit of text processed by a language model.
2. One word may be divided into more than one token.
3. The system counts tokens to measure the length of the input.

#

#445

Prompt

Example sentences

1. The prompt tells the AI what task to perform.
2. A clear prompt usually produces a more useful answer.
3. She added details and examples to the prompt.

#

#446

Prompt engineering

Example sentences

1. Prompt engineering is the practice of writing and improving instructions for AI.
2. The course teaches prompt engineering for business tasks.
3. Good prompt engineering includes clear goals and limits.

#

#447

Hallucination

Example sentences

1. An AI hallucination is an answer that sounds real but is incorrect or invented.
2. The user checked the source because the response might contain a hallucination.
3. Clear evidence can help identify an AI hallucination.

#

#448

Fine-tuning

Example sentences

1. Fine-tuning trains an existing model further for a specific purpose.
2. The company used fine-tuning for its customer support language.
3. Fine-tuning requires suitable examples and careful testing.

#

#449

Retrieval-augmented generation

Example sentences

1. Retrieval-augmented generation gives a model relevant documents before it answers.
2. The support tool uses retrieval-augmented generation to search company guides.
3. Retrieval-augmented generation can make answers more connected to trusted sources.

#

#450

AI agent

Example sentences

1. An AI agent can plan steps and use tools to complete a task.
2. The AI agent checked several systems and created a report.
3. A human should control what actions the AI agent is allowed to take.

#

#451

Internet of Things

Example sentences

1. The Internet of Things connects everyday objects to networks.
2. Smart meters are part of the Internet of Things.
3. The Internet of Things can collect useful data from homes and factories.

#

#452

Smart device

Example sentences

1. A smart device can connect, collect data, or respond automatically.
2. The smart device turns off the lights at midnight.
3. Users should change the default password on a new smart device.

#

#453

Sensor

Example sentences

1. The sensor measures temperature every minute.
2. A movement sensor turns on the light.
3. The phone uses a sensor to detect its position.

#

#454

Actuator

Example sentences

1. An actuator changes an electrical command into physical action.
2. The actuator opened the valve automatically.
3. A robot uses an actuator to move its arm.

#

#455

Embedded system

Example sentences

1. An embedded system controls a specific function inside a larger product.
2. The washing machine contains an embedded system.
3. The embedded system reads sensors and controls the motor.

#

#456

Edge computing

Example sentences

1. Edge computing processes data close to where it is created.
2. The camera uses edge computing to identify movement quickly.
3. Edge computing can reduce the amount of data sent to the cloud.

#

#457

Fog computing

Example sentences

1. Fog computing adds processing between edge devices and the cloud.
2. The factory uses fog computing to collect data from many machines.
3. Fog computing can support faster local decisions.

#

#458

Digital twin

Example sentences

1. A digital twin is a digital model of a real object or system.
2. Engineers use a digital twin to study the factory machine.
3. The digital twin receives live data from sensors.

#

#459

Automation

Example sentences

1. Automation allows a process to run with little human action.
2. The office uses automation to send weekly reports.
3. Automation reduced repeated manual work.

#

#460

Robotics

Example sentences

1. Robotics combines engineering and computing to design and control robots.
2. She studied robotics at university.
3. Robotics is used in factories, hospitals, and research.

#