1. The "Big Picture" Acronyms
These define the types and levels of AI intelligence.

• AI: Artificial Intelligence
• GenAI: Generative AI
• AGI: Artificial General Intelligence
• LLM: Large Language Model
• SLM: Small Language Model

2. Training & Fine-Tuning
If you are looking at how AI is built or "taught," you'll see these terms constantly.

• RLHF: Reinforcement Learning from Human Feedback
• SFT: Supervised Fine-Tuning
• DPO: Direct Preference Optimization
• PEFT: Parameter-Efficient Fine-Tuning
• LoRA: Low-Rank Adaptation

3. Systems & Architectures
These describe how the "brains" of the AI are physically or logically organized.

• RAG: Retrieval-Augmented Generation
• MoE: Mixture of Experts
• GPU: Graphics Processing Unit
• LPU: Language Processing Unit

4. Sub-fields & Use Cases

• NLP: Natural Language Processing
• CV: Computer Vision
• XAI: Explainable AI
• HITL: Human-in-the-Loop

5. Benchmarks (How we measure them)

• MMLU: Massive Multitask Language Understanding
• BLEU / ROUGE: Math-based scores used to judge how well an AI-translated text or summary matches a human version.