AI Jargon Dictionary (March 2026 Edition), Recommended to Bookmark
AI Jargon Dictionary (March 2026 Edition): A Practical Guide
This article provides a clear glossary of essential AI terminology, perfect for anyone looking to quickly understand the field. It breaks down key concepts into two categories: foundational and advanced terms.
Foundational terms (12) include:
- **LLM (Large Language Model)**: Deep learning models trained on vast data to understand and generate language.
- **AI Agent**: Systems that understand goals, use tools, and execute multi-step tasks.
- **Multimodal**: Models that process and generate multiple content types (text, image, audio, video).
- **Generative AI (AIGC)**: AI focused on creating new content.
- **Token**: The basic unit for processing input/output, affecting cost and performance.
- **Context Window**: The amount of data a model can consider at once.
- **RAG (Retrieval-Augmented Generation)**: Enhances responses using external, up-to-date data sources.
Advanced terms (18) cover:
- **Transformer**: The architecture behind modern LLMs.
- **Hallucination**: When models generate incorrect but confident responses.
- **Agentic Workflow**: Systems that autonomously break down and execute tasks.
- **Vibe Coding**: Generating code through natural language commands without manual coding.
The guide is designed to help readers confidently navigate AI discussions and implementations.
marsbit03/11 11:52
