If your developers weren't looking at dashboards before, they won't use a chat interface to interrogate it either. That doesn't really bring it to them any more than their existing capabilities. There's also a worrying underlying assumption being made here that the answers your LLM will give you are accurate and trustworthy.

▲

amtamt 9 hours ago | parent | next [-]

> There's also a worrying underlying assumption being made here that the answers your LLM will give you are accurate and trustworthy.

I first hand saw in, AWS devDays, an AI giving SIWINCH as "root-cause" of Apache error in a containerized process is in EKS for a backend FCGI process connection error. It has been extremely hard since that demo to trust any AI for system level debugging.

	▲	verdverm 6 hours ago \| parent \| next [-]
		(1) when was that? If it was less < 6months ago, the current gen of models is noticeably better (2) AWS is not a leader, if even a contender, in the AI space. I would not evaluate the potential based on a demo they produced
	▲	temp0826 8 hours ago \| parent \| prev [-]
		If we were smart we'd use AI to grok a system in order to help us reduce its complexity. I don't think we're anywhere close to even being able to provide all the necessary context to solve problems like this.

▲

verdverm 6 hours ago | parent | prev [-]

My underlying assumption is that this is a content marketing piece to show managers / investors that "we are doing/thinking something in ai as a company"