I mean LLMs are just inference engines. I’d argue they’re not fundamentally different from other types of neural networks in that regard. If you train a language model on a particular domain, it’ll make predictions about likely future states given a particular state of the system. In this scenario, the LLM could encode whatever sensor data the system has for monitoring the fermentation process, and take actions to maintain a desired state when sensory data gets out of line.
Deep neural network simply means it has a lot of layers and a big parameter space. And I don’t see what’s scary about an automated system taking action I’m this particular context. Do you find thermostats scary too?
It’s not actually clear that they’re not using LLMs here. I don’t see the specific type of AI system mentioned, unless I missed it?
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I mean LLMs are just inference engines. I’d argue they’re not fundamentally different from other types of neural networks in that regard. If you train a language model on a particular domain, it’ll make predictions about likely future states given a particular state of the system. In this scenario, the LLM could encode whatever sensor data the system has for monitoring the fermentation process, and take actions to maintain a desired state when sensory data gets out of line.
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Deep neural network simply means it has a lot of layers and a big parameter space. And I don’t see what’s scary about an automated system taking action I’m this particular context. Do you find thermostats scary too?