7h • General Discussion 💬
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
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14 AI Terms You Should Know in 2026
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