AI Terms Glossary
- AI Copilot
- Adapter
- AI Search
- Agentic AI
- Annotation
- Artificial General Intelligence (AGI)
- Artificial Intelligence (AI)
- Associative Memory
- Automatic Speech Recognition
- Automation
- AI Plugin
- Benchmarking
- ChatGPT
- Collective Learning
- Controllability
- Conversational AI
- Chatbot
- Cost of Large Language Models
- Data Augmentation
- Deep Learning
- Deterministic Model
- Discriminative Model
- Enterprise AI
- Explainability
- Extensibility
- Extraction
- Few-Shot Learning
- Fine Tuning
- Foundation Model
- GPT-3
- GPT-4
- Generation
- Generative AI
- Grounding
- Generative Adversarial Networks (GANs)
- Generative Pre-Trained Transformer
- Hallucination
- Image AI
- Instruction-tuning
- Intelligence Amplification
- Intelligence Augmentation
- Interpretability
- K-Shot Learning
- Knowledge Generation
- Large Language Models (LLM)
- Large Multi-modal Models (LMM)
- Latency
- Low-code
- Large Language Model (LLM)
- Machine Learning (ML)
- Model Chaining
- Multi-hop Reasoning
- Multimodal Language Model
- N-Shot Learning
- Natural Language Ambiguity
- Natural Language Generation (NLG)
- Natural Language Processing (NLP)
- Natural Language Understanding (NLU)
- No-code
- Neural Network
- OpenAI
- Optimization
- Overfitting
- Parameter-efficient Fine-tuning (PEFT)
- Pre-training
- Prompt Engineering
- Probabilistic Model
- Reasoning
- Recursive Prompting
- Reinforcement Learning
- Responsible AI
- Retrieval Augmented Generation (RAG)
- Sequence Modeling
- Speech-to-text
- Stable Diffusion
- Stacking
- Steerability
- Strong AI
- Structured Data
- Summarization
- Supervised Learning
- Stochastic Parrot
- Text-to-speech
- Tokenization
- Transformer
- Unstructured Data
- Unsupervised Learning
- Voice Processing
- Big Data
- Computer Vision
- Whisper
- Prompting
- Quantum Computing
- Voice Synthesis
- Weak AI
- Weak-to-Strong Generalization