Meaning
Variables in a neural networkNeural networks are computational models inspired by the human brain. They consist of interconnected nodes that process and learn from data. More that are learned and adjusted during training to help LLMs generate accurate text.
Definition
Parameters are the weights and biases within an artificial neural network (ANN)Neural networks are computational models inspired by the human brain. They consist of interconnected nodes that process and learn from data. More that LLMs adjust during training.
These parameters help the model learn to predict and generate accurate text by minimizing the error between its predictions and the actual data.
A large language model (LLM)A Large Language Model is a neural network that processes and generates text based on patterns learned from vast datasets to perform various language processing tasks. More can have billions of parameters, enabling them to capture complex language patterns and nuances.
Example
A state-of-the-art LLM might have 175 billion parameters, allowing it to perform highly sophisticated language tasks like generating detailed and contextually rich text.
