Clearly, because chairs are obviously male (German). Anything else is just silly.
three months later
Yep, I’ll get to it.
Eh, that’s not quite true. There is a general alignment tax, meaning aligning the LLM during RLHF lobotomizes it some, but we’re talking about usecase specific bots, e.g. for customer support for specific properties/brands/websites. In those cases, locking them down to specific conversations and topics still gives them a lot of leeway, and their understanding of what the user wants and the ways it can respond are still very good.
Depends on the model/provider. If you’re running this in Azure you can use their content filtering which includes jailbreak and prompt exfiltration protection. Otherwise you can strap some heuristics in front or utilize a smaller specialized model that looks at the incoming prompts.
With stronger models like GPT4 that will adhere to every instruction of the system prompt you can harden it pretty well with instructions alone, GPT3.5 not so much.
I’ve implemented a few of these and that’s about the most lazy implementation possible. That system prompt must be 4 words and a crayon drawing. No jailbreak protection, no conversation alignment, no blocking of conversation atypical requests? Amateur hour, but I bet someone got paid.
“This door plug still has a lot of nubs left, I should really file them off. Eh, what’s the worst that can happen…”
Big fan of Huel (or whatever other Soylent-like floats your boat) for that reason. 2-3 minutes to make and gulp down 500kcal with all required macros/micros.
Much less activation energy needed compared to prepping a real meal, and healthier than reaching for the next bag of crappy snacks (or the next bag of nothing).
Yep. Gen AI in games? Awesome, bring it! Blockchain and Metaverse? GTFO.
I mean, we’re talking curl here, I don’t think a lot of suffering of consequences is happening. And man pages are often also not a great resource, throw everything at you, often don’t contain examples. If I’m building an app that integrates curl or libcurl, oh yes I’m reading the doc. If I just need curl to do something quickly, the LLM output is perfectly fine.
I recently watched the 3.5-hour workshop Mastering the curl command line by Daniel Stenberg, the author of curl
I commend the author for watching and subsequently summarizing this into a blog article, but in the age of LLMs like ChatGPT I cannot be arsed anymore to memorize any of the arcane command line arguments of curl, ffmpeg and the like.
Two gravitationally gifted pachyderms wanted for setting a flame’s kiss to a personal urban retreat.
If their soft deletes (so instead of actually deleting, it’s just a flag on the comment that hides it) then no, it won’t make a difference at all.