Have you ever felt lost in a conversation about AI? It seems everyone’s talking about prompts, hallucinations, and a myriad of acronyms to confuse anyone. Don’t worry, you’re not alone in feeling there is a foreign language you haven’t learned.
We’ve created a friendly, easy guide to help you navigate the 10 most used acronyms in the world of AI terminology, from the simple act of giving instructions to those head-scratching moments when AI gets it wrong.
- Artificial Intelligence (AI) Broad field of human‑like machine intelligence
- Machine Learning (ML) Learning from data without explicit programming
- Deep Learning (DL) Neural networks with many layers
- Large Language Model (LLM) Massive language‑trained models on a variety of content
- Generative Pre‑trained Transformer (GPT) A type of LLM via transformer architecture
- Generative Artificial Intelligence (GenAI) AI that generates new content (text, images, video)
- Natural Language Processing (NLP) AI that enables computers to understand, interpret, and respond to human language.”
- Machine Learning Operations (MLOps) Practices around deploying and managing ML in production
- Deepfake AI creates convincing fake visuals or audio.
- Hallucination AI gives confident but incorrect information.
AI is transforming how we work and communicate. It’s also evolving at a hyper-speed rate. By the time this article is published, there will be additional terminology to learn. For now, we hope this helps with the basics.
This blog was written by a human and enhanced by AI.