Moyan AI Reference
AI Atlas
Find your way through artificial intelligence.
1,068 reference entries on the concepts, models, technologies, organisations and roles that make up AI — each one written to answer what it is, how it works and why it matters.
Written definitions · Practical context · No sponsored bias
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01.AI
Kai-Fu Lee's AI startup creators of the open-weights Yi series of foundation models.
1X Technologies
AI and robotics company producing bipedal and wheeled humanoid robots for home and labor.
3D Gaussian Splatting
Real-time 3D radiance field rendering using anisotropic 3D Gaussians for photorealistic scene reconstruction.
A/B Testing for AI
Comparing model or prompt variants on live traffic with randomised assignment to measure real-world impact.
Activation Function
The non-linear function applied after each layer that lets a network represent more than a linear mapping.
Activation Steering
Modifies internal activation vectors during inference to control model tone or bias.
Active Learning
Letting the model choose which examples to have labelled next, so annotation effort goes where it changes the model most.
AdamW Optimizer Mechanics
Adaptive weight decay optimization algorithm standard for Transformer model training.
Adaptive RAG
Uses an LLM classifier to dynamically choose between direct response, simple RAG, or complex iterative search.
Advanced Agentic Workflows
Design frameworks for orchestrating autonomous AI agents through iterative planning, tool execution, state management, and self-reflection.
Adversarial Attack
Inputs deliberately crafted to make a model produce a wrong output, often with changes imperceptible to people.
Adversarial Robustness
Building models resilient to adversarial attacks and perturbations designed to trigger failure.
Agent frameworks
Libraries that provide the loop, state, tool registry and control flow needed to build AI agents.
Agentic RAG Architectures
RAG systems where autonomous agents dynamically decide when, where, and how to search for information.
Agentic Reflection Loops
A specialized technique in agentic ai providing self-correction after code execution capabilities for advanced enterprise AI applications.
Agentic Web Scraping Protocols
A specialized technique in agentic ai providing llm-driven dom traversal and data extraction capabilities for advanced enterprise AI applications.
Agentic Workflow Design
Architecting multi-agent loops with planning, tool invocation, and reflection stages.
AgentOps Platform
A premier production framework in developer tools providing observability and evaluation for ai agents.
AGI
Artificial General Intelligence — AI capable of performing any intellectual task human beings can perform.
AGY System
An industry-standard acronym standing for Agentic Intelligence System Architecture within agentic ai.
AI
AI stands for artificial intelligence: computer systems that perform tasks normally associated with human intelligence.
AI Agent Architect
Designs multi-agent orchestration frameworks, tool schemas, and persistent state stores.
AI Agents
Systems where a model plans a sequence of steps, calls tools, observes results and iterates towards a goal with limited human input.
AI Alignment
Making an AI system pursue the goals its developers and users actually intend, including implicit expectations they never stated.
AI and the Internet of Things
Combining networked sensors and devices with machine learning that interprets their data, often at the edge.
AI API
A hosted interface that lets applications send prompts and receive model outputs without running any infrastructure.
AI Automation Specialist
Redesigns business processes around AI, usually with low-code tools rather than custom software.
AI Benchmark
A standard task and dataset used to compare models on a shared yardstick.
AI Benchmark Engineer
Maintains automated test harness suites to track model regressions across releases.
AI Citations
Attaching verifiable source references to generated claims so a reader can check them.
AI Cloud Architect
Architects cloud infrastructure on AWS, Azure, or GCP optimized for AI training and inference.
AI Code Generation
Producing, completing or refactoring source code from natural-language descriptions or surrounding context.
AI Compute
The total processing capacity used to train and run AI models, and one of the field's defining constraints.
AI Consultant
Advises organisations on where AI will pay off, how to sequence adoption, and what to avoid.
AI Content Moderation
Using models to detect policy-violating content at a scale human review cannot reach.
AI Content Strategist
Plans and governs content production where AI drafts at volume but humans own accuracy and voice.
AI Copyright Specialist
Navigates intellectual property, copyright, and licensing laws regarding AI training data.
AI Curriculum Developer
Creates educational courses and training programs for AI literacy and engineering.
AI Data Annotator
Reviews and rates AI model outputs to generate human feedback datasets.
AI Data Exfiltration
Using an AI system as a channel to extract confidential data it can access but the requester should not see.
AI Developer Advocate
Builds sample code, tutorials, and community relationships for AI developer tools.
AI Energy and Environmental Impact
The electricity, water and hardware footprint of training and running AI systems.
AI Engineer
Builds applications on top of existing foundation models rather than training models from scratch.
AI Engineering
The discipline of building production applications on top of AI models, as distinct from training the models themselves.
AI Ethicist
Assesses the social, legal and human impact of AI systems and turns principles into operational requirements.
AI Ethics
The study of how AI should be built and used, covering fairness, transparency, accountability, privacy, labour and environmental impact.
AI Ethics Officer
Establishes ethical guidelines, risk assessments, and compliance protocols for AI deployment.
AI gateway
A proxy layer between applications and model providers that handles routing, keys, caching, limits and logging.
AI Governance
The policies, roles and controls an organisation uses to decide what AI it deploys and under what conditions.
AI Governance Frameworks
Standardized organizational risk management procedures for responsible AI deployment.
AI Governance Lead (2)
Owns the framework that decides which AI systems an organisation deploys and under what controls.
AI Guardrails
Programmatic constraints around a model that block unsafe, off-topic or malformed inputs and outputs.
AI Hallucination
When a generative model produces fluent output that is factually wrong or entirely invented while sounding confident.
AI Hardware Engineer
Designs custom ASICs, GPUs, and neural accelerators for deep learning compute.
AI Image Generation
Creating original images from text descriptions, reference images or both.
AI in Cybersecurity
Using AI to detect, investigate and respond to security threats — and defending against attackers who use it too.
AI in Education
Using AI for tutoring, lesson preparation, feedback, accessibility and administrative work in learning settings.
AI in Finance
Applying AI to risk, fraud, compliance, research, servicing and operations in financial institutions.
AI in Healthcare
Applying AI to diagnosis support, imaging, documentation, triage, operations and drug discovery.
AI in Marketing
Applying AI to research, content production, targeting, personalisation and performance analysis in marketing.