Hello! I’ve been using LLMs to help assist with various projects like some scripting, a bit of Python, and school projects, but still describe myself a relative newbie. I’m also primarily a non-coding user, at least for now. One suggestion I’ve seen repeated from lurking various subs is to ask the AI itself to teach you what it can do and how to do it. I’ve tried doing that, and while it does seem to yield decent results, I’m wary of whether it’s really teaching me best practices or the full scope of available tools and techniques. My reason for caution is that I’ve repeatedly noticed AI overlooking relevant adjacent topics/concepts if not directly prompted to consider them. For example, I’ll be asking, say, Claude, to help troubleshoot some PC glitch, and it only considers a possible interaction with another app when I point out and suggest investigating it, despite that I already listed that app in the initial prompt. Only after my suggesting does it go, “You’re absolutely right!” 🙄 This doesn’t always happen, and I’ve had LLMs suggest things I didn’t think of, but I’ve experienced this sort of ”laziness” in scope often enough that I don’t know if I can trust the AI to comprehensively help me learn new things. I’m wondering if there’s best practices to help encourage models to think and explore deeper in this context. submitted by /u/veggiesouptales
Originally posted by u/veggiesouptales on r/ArtificialInteligence
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