12 Must-Know GenAI Terms — A Quick Guide for Every Tech Enthusiast

By Prakash Pandey | Data & AI Expert | Agile Leader | GenAI Evangelist

As GenAI rapidly reshapes how we work, it's crucial to grasp the foundational terms that drive this revolution. Whether you're a techie, a business leader, or just GenAI-curious — this guide gives you the clarity you need.

Here are 12 essential Generative AI terms simplified for everyone:

LLM (Large Language Model) – The brain of GenAI tools, trained on massive datasets to understand and generate text like a human.

Transformers – The neural network architecture powering LLMs with self-attention for deep language understanding.

Prompt Engineering – The art of crafting instructions to get accurate, contextual responses from AI models.

Fine-Tuning – Customizing pre-trained models for specific domains for better precision.

Embeddings – Numeric representations of text/images that help in comparison and semantic understanding.

RAG (Retrieval-Augmented Generation) – Merges search with generation to produce accurate, grounded answers.

Tokens – The smallest unit of input text (words or subwords) that models process.

Hallucination – When AI makes things up — plausible but false information.

Zero-shot – AI performing tasks with no prior examples, using general intelligence.

Chain-of-Thought – Prompting technique that encourages step-by-step logical reasoning.

Context Window – The amount of input text an AI can “see” at once.

Temperature – A setting that controls how creative or focused the AI’s responses are.

These terms aren't just buzzwords — they're building blocks for anyone working with or alongside GenAI.

Let’s keep learning, experimenting, and transforming together.

Which of these terms was new to you? Drop it in the comments!

#GenAI #AI #LLM #PromptEngineering #Transformers #PrakashPandey #ArtificialIntelligence #Learning #FutureOfWork #TechTrends