this post was submitted on 29 Nov 2023
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I'm honestly not sure what you're trying to say here. If by "it must have access to information for reference" you mean it has access while it is running, it doesn't. Like I said that information is only available during training. Either you're trying to make a point I'm just not getting or you are misunderstanding how neural networks function.
This is not correct. I understand how neural networks function, I also understand that the neural network is not a complete system in itself. In order to be useful, the model is connected to other things, including a source of reference information. For instance, earlier this year ChatGPT was connected to the internet so that it could respond to queries with more up-to-date information. At that point, the neural network was frozen. It was not being actively trained on the internet, it was just connected to it for the sake of completing search queries.
That is an optional feature, not required to make use of an LLM. And not even a feature of most LLMs. ChatGPT was usable before they added that, but it can help when you need recent data. And they do continue to train It, with the current cutoff being April of this year, at least for some models. (But training is expensive, so we can expect it to be in conjunction with other design changes that require additional training.)