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Neural Network

A neural network is a computational system inspired by the structure of the biological brain, composed of layers of interconnected nodes (artificial neurons) that process information and learn to recognize patterns. Neural networks are the fundamental technology behind all modern AI models, including LLMs like ChatGPT, Gemini, and Claude.

Definition

A neural network's artificial neurons are organized in layers: an input layer (where the data enters), one or more hidden layers (where processing happens) and an output layer (where the prediction or answer comes out). During training, the network adjusts the "weights" of the connections between neurons based on the errors it makes, progressively learning to produce correct output.

Modern language models use a neural network variant called the Transformer, which revolutionized machines' ability to process text thanks to the attention mechanism. Understanding neural networks at a conceptual level helps professionals interact with AI models more knowledgeably.

Related terms

• Transformer
• LLM (Large Language Model)
• Inference
• Embedding
• Fine-tuning

More in AI Fundamentals

• LLM (Large Language Model)
• Token
• Context Window
• Temperature
• AI Hallucination
• Fine-tuning
• RAG (Retrieval Augmented Generation)
• Embedding

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