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Parameters

Parametri (Parameters)

Parameters are the internal numerical values of a neural network adjusted during training: essentially, the "memory" in which the model encodes everything it has learned. When you read that a model has "70 billion parameters" (70B), these values are what is being counted.

Definition

More parameters generally mean greater capacity to capture linguistic nuance, but also higher training and inference costs. That's why the industry produces both giant models (the "frontier models") and small, efficient ones (SLMs) to run on local devices.

Parameter count isn't everything: data quality, training techniques and fine-tuning matter as much as size. Recent, smaller models regularly outperform larger models from two years earlier.

Related terms

• Neural Network
• Deep Learning
• SLM (Small Language Model)
• Fine-tuning
• LLM (Large Language Model)

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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