Fondamental Aktualisiert 2026-04
Neural Network
Definition
A neural network is a computing model inspired by the human brain, composed of layers of interconnected nodes that process information to learn patterns.
Siehe auch im Glossar
D
Deep Learning
Deep Learning is a subset of Machine Learning using multi-layered neural networks to learn complex representations from raw data.
M
Machine Learning
Machine Learning is a branch of AI where systems learn from data to improve their performance without being explicitly programmed for each task.
T
Transformer
The Transformer is the neural network architecture powering all modern LLMs, invented by Google in 2017.
L
LLM (Large Language Model)
An LLM is an AI model trained on billions of texts, capable of understanding and generating human language.
Tools, die neural network verwenden
Häufig gestellte Fragen
Does a neural network work like a brain?
Not exactly. The inspiration is biological but the operation is mathematical. Artificial neurons are functions that transform numbers, connected by adjustable weights.
How many neurons does GPT-4 have?
GPT-4 has approximately 1.7 trillion parameters (weights). Not directly comparable to biological neurons, but it's a massively larger network than previous models.
