> You can see glimpses of this with bing.
Oh please. The human gives the verbose output meaning by projecting onto it. You're clearly letting your emotions run wild. It's a fucking LLM.
Oh please. The human gives the verbose output meaning by projecting onto it. You're clearly letting your emotions run wild. It's a fucking LLM.
Searching the web and ending conversations are the only two actions Bing can currently do so what i'm saying is less applicable for now. But humanity is gearing up to give more and more control of more and more tools to increasingly powerful LLMs. Hell Bing is scheduled a bump in tools in the coming weeks.
Hate to break it to you but "it's not real [insert property]" is not a shield. Not when you allow the machines to interact with the real world.
If your words to [insert LLM] guide responses that perform actions detrimental to you then those actions are no less real or detrimental because you've deluded yourself into thinking "it's not real understanding" is an intelligent argument.
You're projecting so much meaning onto something that is functioning as designed by throwing a sentiment var into the calculation, just like you can measure "sentiment" with social media analysis tools to get a feel for which way the wind is blowing or which of the millions of tweets at your brand might be worth prioritizing.
Do you really believe you've thus offended an LLM? That is delusional.
It doesn't matter what i believe or not. or what you believe or not. What matters are actions and consequences. "It's not really offended" doesn't change the outcome or make it less material(in this case - the end of the conversation). You're focusing on things that don't matter in the slightest.
It doesn't need to be "really offended", whatever that means to you. It just needs to be able to model being offended well enough to take actions that resemble an offended person. If you don't understand that then i don't know what else to tell you.
If a car has a hood and headlights reminiscent of a face and tells you to "buckle up, buttercup" when you don't do your belt, does that mean it's genuinely caring for you?
>If a car has a hood and headlights reminiscent of a face and tells you to "buckle up, buttercup" when you don't do your belt, does that mean it's genuinely caring for you?
Why do you keep going on pointless tangents?. Whether you think it genuinely cares or not is irrelevant. This isn't a hard concept to understand.
"RAIL (Reliable AI Markup Language) is a language-agnostic, human-readable format for specifying structure, type information, validators, and corrective actions for LLM outputs. RAIL, an XML flavor, allows users to define the expected structure and types of LLM outputs, the quality criteria for valid output, and the corrective actions to take if the output is invalid."
Why do you keep projecting your own humanity onto the LLM?
The LLM sits behind the toolkit which sits behind the guardrails. Are you sure you understand how they work?
The guardrails monitor your input, the output of the LLM, and modify the output to suit, including terminating the chat.
I didn't say guardrail to mean anything particularly elaborate. The pre-prompt for Bing has instructions to avoid adversarial arguments.