Glossary

1. Core AI Concepts & Types

2. Learning & Training Methods

  • Active learning
  • Supervised Fine-Tuning (SFT)
  • Fine-Tuning
  • Reinforcement Learning (RL)
  • Reinforcement Learning from Human Feedback (RLHF)
  • Zero-Shot / One-Shot / Few-Shot Learning
  • Unsupervised Learning
  • Data Augmentation
  • Synthetic Data

3. Optimization & Efficiency Techniques

  • Distillation (Knowledge Distillation)
  • LoRA (Low-Rank Adaptation)
  • Mixture of Experts (MoE)
  • Pruning
  • Quantization
  • Contextual Compression
  • Frugal AI
  • Tuning-free Control

4. Models, Memory & Reasoning

  • Chain-of-Thought (CoT)
  • Memory (in Agents/LLMs)
  • Long Short-Term Memory (LSTM)
  • Self-Consistency
  • Grounding
  • Alignment
  • Alignment Tax
  • Anthropic Principle (AI)

5. Prompting & Interaction

  • Prompt
  • Prompt Engineering
  • Prompt Chaining
  • Prompt Injection
  • Meta-prompting
  • System Prompt / Hidden Prompt
  • Temperature
  • Steerability

6. Agents & Tool Use

  • Agentic AI / Autonomous Agent
  • Tool Use / API Calling
  • Retrieval Plugin / Connector
  • Inference Endpoint
  • Webhook
  • Humanizer
  • Synthetic Persona

7. Evaluation & Benchmarks

  • Benchmark
  • Evaluation Benchmark
  • Inference
  • Throughput
  • Parameter
  • Token
  • Graphics Processing Unit
  • Vector Database

8. Risks, Safety & Governance

  • AI Governance
  • Zero-Trust AI
  • Red Teaming
  • Jailbreak (LLM)
  • Guardrails-as-a-Service
  • AI Detector
  • AI Hall Monitor
  • Watermarking (AI output)

9. Problems & Pitfalls

  • Overfitting
  • Hallucination
  • AI Slop
  • Bias & Misalignment (covered under Alignment/Tax too)
  • Jailbreak (cross-listed, but mainly here)

10. Applications & Use Cases

  • AI-as-a-Service
  • Natural Language Processing
  • Natural Language Understanding (NLU)
  • Natural Language Generation (NLG)
  • Text-to-image
  • Stable Diffusion
  • Speech-to-Text