Search Results

What is an AI model An AI model is a mathematical structure that has been trained on data to produce useful outputs: predictions, classifications, generated text, images, scores, or decisions. Think of it as a very complex "recipe" that a computer has learned ...

What is machine learning (ML) Machine learning (ML) is a subset of artificial intelligence where systems learn patterns from data instead of following hand-written rules. Think of it as teaching by example: instead of writing a step-by-step recipe, you show th...

What is a large language model (LLM) A large language model (LLM) is a type of neural network trained on massive amounts of text so that it can understand and generate human language. Imagine an extremely well-read assistant that has absorbed billions of pages...

What is inference Inference is the process of running a trained AI model on new data to get a result. When a model classifies an image, generates a paragraph of text, predicts a risk score, or recommends an action, it is performing inference. If training is ho...

What is training Training is the process of teaching an AI model by exposing it to data so it learns patterns, relationships, and structures. Before training, a model is a blank structure with random parameters — it cannot classify images, generate sentences, ...

What is a dataset A dataset is a structured collection of data used to train, evaluate, or test an AI model. It is the raw material that machine learning runs on. Without a dataset, there is nothing for a model to learn from and no way to measure whether it wo...

What are benchmarks and quality metrics A benchmark is a standardized test that measures how well an AI model performs on a specific task. A quality metric is a numerical score that quantifies that performance — accuracy, F1, BLEU, perplexity, latency, and oth...

What is an AI component An AI component is the specific part of a project where real AI work happens — analysis, generation, prediction, ranking, or decision-making. It is not a marketing label or a brand mention. In DecAIHub project cards, the AI component fi...

AI component vs use case Every project card on DecAIHub has two fields that look similar but answer different questions: AI component and Use case. The first describes the specific technology inside the project; the second describes what the project does for i...

Automation vs real AI component Many crypto projects label simple automation as "AI." A trading bot that follows preset rules, a smart contract that routes transactions by gas price, a notification system that fires on thresholds — these are automation, not ar...

What is an API wrapper around someone else's model An API wrapper is a project that calls another company's AI model — such as OpenAI's GPT, Anthropic's Claude, or Google's Gemini — via their API and presents the results as part of its own product. This is the...

What is an AI agent An AI agent is a software system that can perceive its environment, make decisions, and take actions to achieve goals — without needing a human to direct every step. Think of it as the difference between a calculator and a personal assistan...

What is the difference between assistant, copilot, chatbot, and agent Think of these four terms as positions on a remote-control spectrum. A chatbot is like a walkie-talkie: you talk, it talks back, end of interaction. An assistant is like a smart speaker that...

What is RAG (Retrieval-Augmented Generation) Imagine a student taking an open-book exam. Instead of answering every question from memory alone, the student flips through a textbook, finds the most relevant pages, reads them, and then writes an answer that comb...

What is zkML zkML (Zero-Knowledge Machine Learning) is a technique that uses zero-knowledge proofs to verify that a machine learning model ran its inference correctly — without revealing the model weights, the input data, or both. It provides a cryptographic g...

What are AI quality metrics and why they matter AI quality metrics are measurable values that describe how well an AI system performs its task — not in marketing terms, but in numbers with context. In the crypto AI space, where claims often outpace evidence, q...

Why AI in marketing does not equal working AI The gap between marketing AI and working AI is the central problem DecAIHub addresses. Hundreds of crypto projects use words like "AI-powered," "built with cutting-edge AI," or "our AI engine" in their branding — b...

Inference as an AI component Inference as an AI component means the project runs a trained model in production to produce outputs — predictions, classifications, generated text, images, or other results. When a DecAIHub project card lists an inference-related ...