AI: Concepts

What are AI quality metrics and why they matter AI quality metrics are measurable values that des...

What are benchmarks and quality metrics A benchmark is a standardized test that measures how well...

What counts as evidence of an AI component When DecAIHub assesses whether a project has a working...

What does not count as evidence of AI A project may present many artifacts that look like proof o...

What is a dataset A dataset is a structured collection of data used to train, evaluate, or test a...

What is a large language model (LLM) A large language model (LLM) is a type of neural network tra...

What is an AI agent An AI agent is a software system that can perceive its environment, make deci...

What is an AI component An AI component is the specific part of a project where real AI work happ...

What is an AI model An AI model is a mathematical structure that has been trained on data to prod...

What is an API wrapper around someone else's model An API wrapper is a project that calls another...

What is artificial intelligence Artificial intelligence (AI) is a broad term for software systems...

What is inference Inference is the process of running a trained AI model on new data to get a res...

What is machine learning (ML) Machine learning (ML) is a subset of artificial intelligence where ...

What is RAG (Retrieval-Augmented Generation) Imagine a student taking an open-book exam. Instead ...

What is the difference between assistant, copilot, chatbot, and agent Think of these four terms a...

What is training Training is the process of teaching an AI model by exposing it to data so it lea...

What is zkML zkML (Zero-Knowledge Machine Learning) is a technique that uses zero-knowledge proof...

Why AI in marketing does not equal working AI The gap between marketing AI and working AI is the ...