Six technical AI acronyms every communicator needs to know
Master the jargon, sound informed in any meeting
You’ve learnt the basics (AI, ML, LLM) but still feel a little lost when when conversations get technical.
There’s six acronyms come up regularly in technical AI discourse. Knowing them helps you navigate conversations, ask better questions, and explain capabilities to stakeholders.
The workhorse acronyms
These terms describe how AI systems are built and interact with other software.
Generative AI (GenAI)
What it means: GenAI refers to AI systems that don’t just analyze existing information, they create new content - like text, images, code, or other outputs.
Why it matters: This distinguishes AI that creates (like ChatGPT writing emails) from AI that classifies (like a spam filter). It's become the dominant form of AI in workplace applications.
How to use it: "Our GenAI tools help marketing teams create first drafts of social media content from existing blog posts."
Natural Language Processing (NLP)
What it means: NLP is how AI systems understand and work with human language. They read and interpret human inputs, then generate text that makes sense to people.
Why it matters: This is the core technology behind chatbots, voice assistants, and AI writing tools. When an AI tool can interpret what you're saying, that's NLP at work.
How to use it: "Our AI system uses NLP to understand customer inquiries and provide relevant responses."
Application Programming Interface (API)
What it means: An API is how different software systems talk to each other. APIs predate today’s AI tools, but they are fundamental to how modern AI systems are deployed and integrated into larger software ecosystems. Think of an API as a messenger that carries requests between an AI system and other apps.
Why it matters: When your AI needs to access customer data, send emails, or update records in other tools, it uses an API. Understanding this helps you explain how AI integrates with existing systems.
How to use it: "Our AI customer service system uses an API to pull up customer account information and update support tickets automatically."
Enjoying these technical acronym explainers? Here are two more acronym-heavy newsletters: HITL, RLHF and ASI and AI, ML and LLMThe technical infrastructure acronyms
These terms get into the underlying hardware and advanced capabilities of AI systems. As a comms professional, it’s on us to translate technical requirements and capabilities into compelling, non-technical narratives.
Graphics Processing Unit (GPU)
What it means: A GPU is a powerful computer chip. Originally designed for video games and graphics, these chips turned out to be one of the best solutions for the intensive mathematical calculations needed for AI.
Why it matters: When teams talk about the cost, speed, or capabilities of an AI system, GPUs are often the limiting factor. More GPUs mean a more powerful AI, but also higher costs.
How to use it: "We're upgrading our GPU infrastructure to support larger models."
Retrieval Augmented Generation (RAG)
What it means: RAG is a method that allows AI systems to access current, specific information to answer questions. Instead of relying solely on its original training data, a RAG-powered system can pull from databases, documents, or websites in real-time.
Why it matters: This technology solves the "knowledge cutoff" problem where AI models can't access information that wasn't included in their training data. This can reduce hallucination, though not entirely. A RAG-powered AI can reference company documents, discuss recent events, or provide up-to-date pricing information.
How to use it: "Our AI assistant uses RAG to access the latest product documentation."
Computer Vision (CV)
What it means: CV is how AI systems "see" and understand images, videos, and other visual information. It’s the technology that allows an AI to recognize objects, read text from an image, or analyze visual patterns.
Why it matters: CV powers everything from automated content moderation to quality control systems. It's how AI moves beyond just text into visual understanding.
How to use it: "We're using CV technology to analyze customer product photos."
Remember! The acronym rule still applies:
Use the full phrase first: "Computer Vision (CV)"
Then use the acronym freely: "Our CV system processes thousands of images daily."
Adjust based on your audience's familiarity with the terms.
By mastering these terms, you can confidently follow the conversation and contribute meaningfully to AI discussions at any level.