aifaq.wtf

"How do you know about all this AI stuff?"
I just read tweets, buddy.

#limitations

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June 10, 2023: @taliaringer

#user experience   #interfaces   #limitations   #standards and guidelines   #shortcomings and inflated expectations   #plagiarism   #education  

We need user interface alignment instead of just model alignment.

June 8, 2023: @goodside

#magic words   #lol   #limitations  

June 7, 2023: @goodside

#prompt injection   #models   #limitations  

May 31, 2023: @jjvincent

#limitations   #shortcomings and inflated expectations   #dystopia  

The most direct analogue is probably facial recognition: "the system said it's a match" will override "obviously this isn't the person from the video" because Computers Can't Be Wrong.

May 31, 2023: @emilymbender

#limitations   #shortcomings and inflated expectations   #actual work   #dystopia   #labor  

May 30, 2023: @mmitchell_ai

#limitations   #fact-checking  

May 29, 2023: @mmitchell_ai

#evaluation   #limitations  

I've given up on all the "look at how an LLM scores on this test!!!" excitement because there's almost always something going on, whether it's explicitly cooking the books in favor of the LLM, testing questions its already seen, or (my favorite!) some sort of answer leakage.

May 29, 2023: @lathropa

#limitations  

May 27, 2023: @jeff_bilbro

#literature and science fiction   #limitations   #lol  

May 27, 2023: @d_feldman

#limitations   #lol   #hallucinations   #law and regulation   #fact-checking   #failures  

We're going to see a lot of people doubling down on the (accidental? incidental?) falsehoods spread by ChatGPT.

May 27, 2023: @d_feldman

#limitations   #lol   #hallucinations   #law and regulation   #failures  

May 26, 2023: @arankomatsuzaki

#papers   #limitations  

May 25, 2023: @moreisdifferent

#models   #limitations  

May 24, 2023: @kenklippenstein

#lol   #limitations   #failures  

May 6, 2023: @jorisdejong4561

#summarization   #langchain   #limitations  

"Write me a summary" seems like an easy task for a language model, but there are a hundred and one ways to do this, each with their own strengths and weaknesses. Even within langchain!

If you're excited about summarization, be sure to read this to see how things might go wrong. With hallucinations, token limits, and other technical challenges, LLM-based summarization has a lot more gotchas than you'd think.