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Technical Vocabularynoun · /dʒenərətɪv eɪ aɪ/

generative AI

In simple English

Generative AI is a subset of artificial intelligence that has become central to modern tech development. Unlike traditional machine learning models that are trained to classify or predict based on input data, generative AI models learn the underlying patterns and structure of data to produce entirely new content that did not exist before. Common examples include large language models like GPT, image generation models like DALL-E, and code generation tools like GitHub Copilot. In tech workplaces, generative AI is used across multiple domains: developers use it for code completion and bug detection, product teams explore it for new features, and researchers investigate its capabilities and limitations. The term is widely used in standup meetings, sprint planning, architecture discussions, and job interviews. Understanding generative AI is now considered essential knowledge for most tech professionals, as it impacts product strategy, technical decisions, and hiring requirements. It is important to note that generative AI differs from discriminative AI (which classifies data into categories) and from traditional rule-based systems. The technology has sparked significant discussion about ethics, copyright, bias, and responsible AI development in the industry.

Understand what generative AI is, how it works, and how it differs from other types of AI systems used in tech.

At a glanceCEFR B2
Commonness5/5
Versatility5/5
FormalityCasualFormalNeutral
Spoken ↔ WrittenSpokenWrittenBoth
Directness ↔ DiplomaticDirectDiplomaticDirect
RegionUS and UK
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Say it like this

We are leveraging generative AI to automate content creation.
Generative AI models have transformed how we approach development.
The rise of generative AI has created new opportunities and challenges.

Real examples

in a standup

"Yesterday I integrated a generative AI model into our search feature to improve query understanding."

in a code review

"This function was partially generated using generative AI, so we need to review it carefully for edge cases."

in a team meeting

"Our competitors are already using generative AI for customer support, so we should evaluate it for our product roadmap."

Don't say this

Handle with care. Generative AI is often confused with machine learning or AI in general. It specifically refers to models that create new content, not models that classify or predict.

We use generative AI to classify user feedback.
We use machine learning to classify user feedback, and generative AI to summarize it.Generative AI creates new content; classification is a different type of AI task.
Generative AI is the same as artificial intelligence.
Generative AI is a subset of artificial intelligence that focuses on content creation.Generative AI is a specific category within the broader field of AI.
We implemented generative AI yesterday.
We integrated a generative AI model yesterday.Generative AI is a technology type, not something you directly implement; you implement models or systems based on it.

Other forms

noun

generative AI

"Generative AI is transforming software development."

adjective

generative AI (attributive)

"We deployed a generative AI solution for our customer service team."

noun

generative AI model

"This generative AI model requires significant computational resources."

Often used with

generative AI modelUsed when referring to the specific system or algorithm, as in 'training a generative AI model'
generative AI toolUsed for software or applications powered by generative AI, like ChatGPT or GitHub Copilot
leverage generative AICommon phrase meaning to use or apply generative AI to a business problem
generative AI capabilitiesRefers to what a generative AI system can do or produce
generative AI ethicsDiscusses responsible development and deployment of generative AI systems

Similar words

generative modelMore technical term; often used interchangeably but sometimes refers only to the model without the AI context
content generation AIMore descriptive but less commonly used in industry conversations

Opposites

discriminative AIrule-based systems

Practice

Try it

4 quick exercises

Pick the most natural phrasing

1. Your manager asks what technology your team is exploring. Which sounds most professional?

Complete the sentence

2. Our new _______ uses generative AI to automatically write code comments.

Spot the mistake

3. Which sentence uses the term incorrectly?

Rewrite naturally

4. Rewrite this in natural tech English using generative AI: 'We need to use technology that makes new things to help our customer service team work faster.'

Questions

Quick poll

Have you said "generative ai" in a standup this week?

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