14 AI Terms You Should Know in 2026
1. Generative AI → AI that creates content like text, images, videos, music, and code 2. LLM (Large Language Model) → AI models trained on massive amounts of text data to understand and generate language 3. Prompt Engineering → The skill of writing better prompts to get better AI outputs 4. AI Agent → AI systems that can perform tasks, make decisions, and automate workflows 5. Agentic AI → Advanced AI that can plan, reason, and complete multi-step tasks autonomously 6. Multimodal AI → AI that can understand text, images, audio, and video together 7. RAG (Retrieval-Augmented Generation) → AI that retrieves external information before generating answers 8. Fine-Tuning → Customizing a pre-trained AI model using specific data 9. Token → Small chunks of text processed by AI models 10. Hallucination → When AI confidently gives incorrect or made-up information 11. Vector Database → A database designed to store AI embeddings for fast similarity search 12. Embeddings → Numerical representations of text or data that help AI understand meaning 13. Inference → The process of AI generating predictions or responses after training 14. Open Source AI → AI models publicly available for developers to use, modify, and improve Why learning these matters: ✅ - Helps you understand modern AI tools - Makes prompt writing easier - Useful for AI interviews and careers - Helps you stay ahead in tech 📌 Like 👍 and comment ❤️ For More