The output of the AI is controlled by the interactions of giant networks of nodes or weights
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An artificial intelligence model can be made to throw out ads if just one of the billions of numbers that make up it changes.
Large language models (LLMs) like the one behind OpenAI’s ChatGPT have billions of parameters or weights, which are numerical values used to represent each “neuron” in their neural network. These are the ones that are tuned and adjusted during training so that the AI can learn skills like text generation. The inputs are passed through these weights, which determine the statistically likely output.…
