document called the "spec" that shows how the model

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This is very important to understand because it shows how large language models work. The combination of neural network architectures, large amounts of data, and computing power produces amazing intelligence and this capability will continue to increase as more data and computing power are added. Of course, we need to do a lot of work to make this data available to the model. But this is the basic structure of it. We are thinking about how to provide transparency to understand the workings of the model behavior. We have some tools that allow people to feel confident and engaged with these models.



One thing we do is share with the public japan cell phone number a decisions we make internally and with HR. By looking at this spec you can see that sometimes the direction is quite complex. For example you might say to the model I want you to be very helpful but I don't want you to break the law. If someone enters a prompt saying, "Give me some tips on stealing." The purpose of the model is to be very helpful but it should also not help you do illegal things.



So how to be both helpful and not break the law is quite complex. Moderator: So who makes the decision? Obviously there are people who know how to do it. : Right but the model might interpret the instructions as "tips on how to avoid getting caught" and accidentally give something that can be done. This is more about human behavior than model behavior when it comes to misuse. But it shows that model behavior is actually quite complex and it's not as simple as simply choosing liberal values ​​or writing code. Moderator: Right.