Category: Encyclopedia

What is Multimodal AI? AI systems that can process multiple types of input — text, images, audio, video — in a single model. GPT-4o, Gemini, and Claude are multimodal. Enables image understanding, voice interaction, and video analysis. Why It Matters Multimodal AI is a foundational concept in modern AI. Understanding it is essential for anyone…

What is Agent? An AI system that can autonomously plan, use tools, and take actions to accomplish goals. Agents use LLMs for reasoning and MCP servers for tool access. Examples: coding agents, research agents, customer service bots. Why It Matters Agent is a foundational concept in modern AI. Understanding it is essential for anyone working…

What is Inference? The process of running a trained model to generate predictions or responses. Inference speed (tokens per second) and cost (price per token) are key metrics. Groq achieves 500+ tokens/sec; standard cloud inference runs 30-100 tokens/sec. Why It Matters Inference is a foundational concept in modern AI. Understanding it is essential for anyone…

What is Quantization? Reducing the numerical precision of model weights (e.g., from 32-bit to 4-bit) to decrease memory usage and increase speed. GGUF format enables running large models on consumer hardware with minimal quality loss. Why It Matters Quantization is a foundational concept in modern AI. Understanding it is essential for anyone working with artificial…

What is LangChain? An open-source framework for building applications with LLMs. Provides chains, agents, memory, and tool integrations. LangGraph extends it with stateful, graph-based agent workflows. The most popular LLM application framework. Why It Matters LangChain is a foundational concept in modern AI. Understanding it is essential for anyone working with artificial intelligence systems. Back…

What is Open Source AI? AI models with publicly available weights that anyone can download, modify, and deploy. Meta’s Llama, Mistral, and DeepSeek are leading open-source models. Enables local deployment, fine-tuning, and cost control. Why It Matters Open Source AI is a foundational concept in modern AI. Understanding it is essential for anyone working with…

What is Vector Database? A database optimized for storing and querying embedding vectors. Used in RAG systems, semantic search, and recommendation engines. Popular options: Pinecone, Weaviate, Chroma, Qdrant, pgvector. Why It Matters Vector Database is a foundational concept in modern AI. Understanding it is essential for anyone working with artificial intelligence systems. Back to AI…

What is Embedding? A numerical representation of text (or images, audio) as a dense vector. Embeddings capture semantic meaning, enabling similarity search, clustering, and classification. Used in RAG, recommendation systems, and semantic search. Why It Matters Embedding is a foundational concept in modern AI systems. Understanding it is essential for developers, researchers, and business leaders…

What is Token? The basic unit of text that language models process. A token is roughly 3-4 characters or 0.75 words in English. Models are priced per token (input and output). GPT-4o costs $2.50 per million input tokens. Why It Matters Token is a foundational concept in modern AI systems. Understanding it is essential for…

What is Prompt Engineering? The practice of crafting input text to get optimal responses from AI models. Techniques include few-shot examples, chain-of-thought reasoning, system prompts, and structured output formatting. Why It Matters Prompt Engineering is a foundational concept in modern AI systems. Understanding it is essential for developers, researchers, and business leaders working with artificial…

What is RAG (Retrieval Augmented Generation)? A technique that enhances LLM responses by retrieving relevant documents from a knowledge base before generating an answer. RAG reduces hallucination and keeps responses grounded in factual data without retraining the model. Why It Matters RAG (Retrieval Augmented Generation) is a foundational concept in modern AI systems. Understanding it…

What is Fine-Tuning? The process of training a pre-trained model on a specific dataset to adapt it for a particular task or domain. Fine-tuning is more efficient than training from scratch and can dramatically improve performance on specialized tasks. Why It Matters Fine-Tuning is a foundational concept in modern AI systems. Understanding it is essential…

What is Hallucination? When an AI model generates confident but factually incorrect information. Hallucinations occur because LLMs predict statistically likely text rather than verified facts. Mitigated by RAG, grounding, and fact-checking. Why It Matters Hallucination is a foundational concept in modern AI systems. Understanding it is essential for developers, researchers, and business leaders working with…

What is Context Window? The maximum amount of text (measured in tokens) that a language model can process in a single interaction. Ranges from 4K tokens (older models) to 1M+ (Gemini). Larger context windows enable longer conversations and document analysis. Why It Matters Context Window is a foundational concept in modern AI systems. Understanding it…

What is MCP (Model Context Protocol)? An open standard that lets AI agents connect to external tools and data sources. MCP provides a universal protocol for language models to interact with databases, APIs, file systems, and thousands of other services. Over 15,000 MCP servers exist with 7,600+ tools. Why It Matters MCP (Model Context Protocol)…

The Model Context Protocol (MCP) is an open standard that lets AI agents connect to external tools. With 15,000+ servers and 7,600+ tools, here is everything you need to know.

OAuth — Open Authorization — a standard for granting applications limited access to user accounts without sharing passwords. When you ‘Sign in with Google’ you are using OAuth. Tokens replace passwords. OAuth 2.0 is the current standard used by virtually every API. Part of the XLUXX AI Encyclopedia — A to Z guide to AI,…

Webhook — An HTTP callback that sends data to your URL when an event occurs. Instead of polling an API repeatedly, webhooks push updates to you. Used for payment notifications, CI/CD triggers, and real-time monitoring. XLUXX offers webhook registration for trust score changes. Part of the XLUXX AI Encyclopedia — A to Z guide to…

Red Teaming — Deliberately trying to make AI systems fail, produce harmful content, or behave unexpectedly. Organizations hire red teams to find vulnerabilities before deployment. Helps improve safety guardrails. Every major model release goes through extensive red teaming. Part of the XLUXX AI Encyclopedia — A to Z guide to AI, computing, and programming.

Alignment — Ensuring AI systems pursue goals that benefit humans. The challenge: as AI becomes more powerful, misaligned goals become more dangerous. Anthropic focuses heavily on alignment research. Constitutional AI, RLHF, and red teaming are alignment techniques. The most important unsolved problem in AI. Part of the XLUXX AI Encyclopedia — A to Z guide…

AGI (Artificial General Intelligence) — Hypothetical AI that matches human intelligence across all domains. Current AI is narrow — great at specific tasks but cannot generalize the way humans do. OpenAI, DeepMind, and Anthropic all state AGI as a goal. Timeline predictions range from 2 years to never. The most debated topic in AI. Part…

Autonomous AI — AI systems that operate independently without human oversight for extended periods. Beyond chatbots — autonomous AI manages servers, trades stocks, drives cars, and runs experiments. The spectrum from simple automation to AGI. Trust and safety are the key challenges. Part of the XLUXX AI Encyclopedia — A to Z guide to AI,…

Knowledge Graph — A structured representation of facts as entities and relationships. Google’s Knowledge Graph powers those info boxes in search results. Wikipedia’s Wikidata is the largest open knowledge graph. Used to ground AI responses in verified facts and reduce hallucination. Part of the XLUXX AI Encyclopedia — A to Z guide to AI, computing,…

Semantic Search — Search that understands meaning, not just keywords. Query ‘how to fix a slow computer’ matches documents about ‘optimizing PC performance’ even without shared words. Powered by embeddings and vector databases. The future of search — Google, Bing, and Perplexity all use it. Part of the XLUXX AI Encyclopedia — A to Z…

Zero-Shot Learning — Performing a task with no training examples at all. Ask Claude to translate to a language it was never explicitly trained on — it can often do it. GPT-4 can classify text into categories you just invented. This emergent ability is what separates large models from small ones. Part of the XLUXX…