Artificial Intelligence (AI)
The simulation of human intelligence processes by computer systems, including learning, reasoning, problem-solving, perception, and language understanding.
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AI Glossary
Your complete guide to understanding artificial intelligence terminology. Learn what ChatGPT, LLMs, prompts, and other AI terms actually mean.
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All AI Terms A-Z
A
AI Agent
An AI system that can autonomously plan and execute multi-step tasks, use tools, and make decisions to achieve goals. Agents go beyond simple chatbots by taking actions in the real world.
Related:Autonomous AITool UseFunction Calling
💡 Key Concepts
API (Application Programming Interface)
A set of protocols that allows different software applications to communicate. AI APIs let developers integrate AI capabilities into their applications.
Related:REST APISDKIntegration
🔧 Technical Terms
AGI (Artificial General Intelligence)
Hypothetical AI that can understand, learn, and apply intelligence across any task at a human level or beyond. Current AI is considered 'narrow AI' focused on specific tasks.
💡 Key Concepts
Anthropic
An AI safety company that developed Claude. Founded by former OpenAI researchers, Anthropic focuses on building safe and beneficial AI systems.
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AI Safety
The field focused on ensuring AI systems are beneficial and don't cause harm. Includes research on alignment, robustness, and preventing misuse.
💡 Key Concepts
C
ChatGPT
An AI chatbot developed by OpenAI that uses GPT models to engage in conversational dialogue. It can answer questions, write content, code, analyze data, and assist with various tasks.
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Claude
An AI assistant developed by Anthropic, known for its helpful, harmless, and honest approach. Claude excels at long-form analysis, coding, and nuanced conversations.
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Context Window
The maximum amount of text (measured in tokens) that an AI model can process at once. Larger context windows allow for analyzing longer documents and maintaining longer conversations.
🔧 Technical Terms
Chain of Thought (CoT)
A prompting technique that encourages AI models to break down complex problems into steps, showing their reasoning process. This often improves accuracy on logical tasks.
⚙️ Techniques
D
Deep Learning
A subset of machine learning that uses neural networks with many layers (hence 'deep') to model complex patterns. Deep learning powers most modern AI breakthroughs.
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DALL-E
An AI image generation model created by OpenAI that creates images from text descriptions. DALL-E 3 is integrated into ChatGPT Plus.
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E
Embeddings
Numerical representations of text (or other data) that capture semantic meaning. Embeddings enable AI systems to understand similarities between concepts and perform semantic search.
🔧 Technical Terms
F
Fine-tuning
The process of taking a pre-trained AI model and training it further on specific data to customize its behavior for particular tasks or domains.
Related:Transfer LearningTrainingCustom Models
⚙️ Techniques
Few-shot Learning
A technique where you provide a few examples in your prompt to help the AI understand the desired output format or task. It improves accuracy for specific use cases.
⚙️ Techniques
G
GitHub Copilot
An AI coding assistant developed by GitHub and OpenAI that suggests code completions, writes functions, and helps developers code faster.
Related:AI CodingCode CompletionPair Programming
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Google DeepMind
Google's AI research lab that developed Gemini, AlphaGo, and other breakthrough AI systems. Formed from the merger of Google Brain and DeepMind.
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Gemini
Google's family of multimodal AI models designed to compete with GPT-4. Gemini can process text, images, audio, and video.
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H
Hallucination
When an AI model generates information that sounds plausible but is factually incorrect or made up. This is a common challenge with large language models.
Related:GroundingRAGFact-checking
💡 Key Concepts
L
Large Language Model (LLM)
A type of AI model trained on vast amounts of text data that can understand, generate, and manipulate human language. Examples include GPT-4, Claude, and Gemini.
🧠 AI Models
M
Multimodal AI
AI systems that can understand and generate multiple types of content, including text, images, audio, and video. GPT-4V and Gemini are examples of multimodal models.
🧠 AI Models
Machine Learning
A subset of AI where systems learn and improve from experience without being explicitly programmed. ML algorithms identify patterns in data to make predictions or decisions.
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Midjourney
An AI art generation tool known for producing highly aesthetic and artistic images from text prompts. It operates through Discord.
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N
Natural Language Processing (NLP)
A branch of AI focused on enabling computers to understand, interpret, and generate human language. NLP powers chatbots, translation, sentiment analysis, and more.
Related:Large Language ModelSentiment AnalysisNamed Entity Recognition
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Neural Network
A computing system inspired by biological neural networks, consisting of interconnected nodes (neurons) that process information. Neural networks are the foundation of deep learning.
🔧 Technical Terms
O
P
Prompt
The input text or instruction given to an AI model to generate a response. Effective prompting is key to getting useful outputs from AI systems.
💡 Key Concepts
Prompt Engineering
The practice of designing and optimizing prompts to get better, more accurate, and more useful responses from AI models. It involves techniques like providing context, examples, and specific instructions.
⚙️ Techniques
Perplexity
An AI-powered search engine that provides direct answers with citations, combining web search with LLM capabilities for research and fact-finding.
Related:AI SearchRAGCitations
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R
RAG (Retrieval-Augmented Generation)
A technique that combines AI generation with information retrieval, allowing models to access and cite external knowledge sources to provide more accurate and up-to-date responses.
⚙️ Techniques
RLHF (Reinforcement Learning from Human Feedback)
A training technique where AI models are refined using human feedback to better align with human preferences and values. It's key to making LLMs helpful and safe.
⚙️ Techniques
S
Stable Diffusion
An open-source text-to-image AI model that can be run locally. It's popular for its flexibility and the ability to fine-tune for specific styles.
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Sora
OpenAI's text-to-video AI model that can generate realistic videos from text descriptions. Represents a major advancement in generative AI.
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T
Token
The basic unit of text that AI models process. A token can be a word, part of a word, or a character. Most AI APIs charge based on the number of tokens processed.
🔧 Technical Terms
Transformer
A neural network architecture that uses self-attention mechanisms to process sequential data. Transformers are the foundation of modern LLMs like GPT and BERT.
Related:Attention MechanismGPTBERT
🔧 Technical Terms
Text-to-Image
AI technology that generates images from text descriptions. Popular tools include DALL-E, Midjourney, and Stable Diffusion.
📱 Applications
Temperature
A parameter that controls the randomness of AI outputs. Lower temperatures produce more focused, deterministic responses, while higher temperatures increase creativity and variability.
Related:SamplingTop-PModel Parameters
🔧 Technical Terms
V
Vector Database
A database optimized for storing and querying high-dimensional vectors (embeddings). Essential for building RAG systems and semantic search applications.
🔧 Technical Terms
Z
Zero-shot Learning
The ability of an AI model to perform tasks it wasn't explicitly trained on, without any examples. Modern LLMs excel at zero-shot learning.
⚙️ Techniques
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