DietCanesSauce

joined 3 weeks ago
[–] DietCanesSauce@lemmy.world 2 points 2 hours ago

I am by no means an expert but I think most of the noise pollution coming from data centers is outside of the perceptible range for humans.

This video breaks down infrasound rather well and demonstrates the issues it can pose for people living miles away from the source. This could also have several unstudied consequences for wildlife as well.

[–] DietCanesSauce@lemmy.world 3 points 1 week ago

Yeah I have actually been pleasantly surprised with how the output can be structured by providing it with additional instructions to specialize its role.

The ability to control its verbosity to a certain degree means that I can cut out the “You are correct, here are 20 bullet points to show you why”. I can also kind of turn it into an internal documentation search engine that can search our support ticket db, codebase, and documentation articles at the same time.

Still very new to designing LLM agents and AI in general, but I am glad my team and our department seems willing to do things right and roll it out slowly even with pressure from the C Suite to roll it out right away. I don’t trust any LLM to do any particular task in my role, but it’s decent at gathering information quickly since it is literally what it’s been designed to do.

I just wish we stopped getting posters generated by copilot for company events. They creep me out tbh.

[–] DietCanesSauce@lemmy.world 5 points 1 week ago (2 children)

This is exactly how I feel. I am rather new to the industry, still in an entry level position, but I have been tasked with building out an AI chatbot in our support team.

I accepted the task in hopes I can make the bot point people to references to read more on rather than give them the answer they seek outright, so that they hopefully understand why something worked and something else didn’t.

My goal is to make it easier to find those obscure references rather than regurgitate the source in a 2000 word slop response.