4 ms·
Perfect use case for chatgpt or other llm
by spencerchubb 2y ago
Perfect use case for chatgpt or other llm
- pseudalopex 2y agoAre you serious? It's the primary use for a dictionary. And did you try ChatGPT? It suggested bananas heavy meant bananas are physically heavy because they are ripe.
- jondwillis 2y agodictionaries do not provide much context that would un-confuse someone who has not come into contact with a colloquialism.
- pseudalopex 2y agoThe context is bananas means crazy. Dictionaries provide this context.
- donatj 2y agoIt would not have helped me in this situation. My assumption was "bananas heavy" was a phrase I was unfamiliar with, so I was trying to look that up. "Bananas heavy" is not in the dictionary, I fully understood that bananas can mean crazy, but what I do not understand is the sentence and the context. I never would have used the word with that meaning like this. Who would say something like this? I still don't understand why a person would say "bananas heavy" to mean "YouTube embeds are bloated". It just sounds so awkward and bizarre.
- popcalc 2y agobananas == crazy; (x heavy) == crazy heavy
- marcosdumay 2y agoYet, when I put "What's the meaning of "bananas heavy"?" in perplexity, it explains it perfectly well. One of the easiest things for a LLM to "memorize" is the dictionary. And it makes for a much more flexible one. It even suggest additional queries where it explains why "bananas" is used on that phrase. The only problem I found on the query is that perplexity seems to be de-emphasizing its sources, what IMO is bananas. It just pushes the site into direct competition with ChatGPT and removes most of its value.
- spencerchubb 2y agoYes I'm serious. Here's the prompt I would use: "what does bananas mean in this sentence: YouTube embeds are bananas heavy and it’s fixable" Put it in google, and it doesn't give anything useful Put it in an LLM, and you get a correct answer because LLMs can understand full sentences
- kmoser 2y agoLLMs don't actually "understand" anything. They're just better at parsing and manipulating language.