Counting my calories.
How? From meal description?
Ask HN: What's the coolest non standard application of LLMs you've seen?
41–50 of 65 posts
Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#42Honeycomb is an open telemetry tool that has a complicated search UI. They also have a text box you can use to have it query your data for you, it basically just drives the filtering and group by UI. It's really cool because it just makes the UI simpler to use, worse case it might set the wrong filter.
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Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#43I use GPT-4 to generate a poem as a reward for solving the daily puzzle at https://squareword.org The poem is based on words from the puzzle.
It usually manages to create a reasonably coherent and amusing poem from up to 10 completely random words, something would struggle to do myself. People tell me they enjoy them, although some of the poems turn out a bit odd haha.
Here is an example: https://x.com/SquareWordOrg/status/1660702885154377730?s=20
Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#44Jira issue generator. Custom GPT with instructions that outputs issues according to our issue templates in markdown. Allows me to write horribly typoed bullet point lists and get out surprisingly good issues. Gets me 80-90% done in a fraction of the time. I can then just edit them to get them to be what I need. What I'd really want to get working is a PR desription generator.
Why can't the bullet points just be used as is? Either they contain enough signal, or they don't and llm won't help anyways. I fear everything will be expanded by llms soon. "write an email, three paragraphs, about X", instead of just sending X directly. Then the receiver gets a wall of text, and uses an llm to distill it back to X' before reading. Just hope too much didn't get lost in the inverse compression through…
Short is not the same as clear and concise.
Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#45I'm using it to filter out the content that's displayed in my browser screen as I browse: https://karimjedda.com/llms-in-the-middle-content-aware-clie... Essentially, I wrote a small browser extension, that takes the content of LinkedIn, Twitter, YouTube posts/titles, and filters them out based on if they are clickbait, low effort, etc. It's liberating :D
The thing that made the initial chatgpt refreshing was the lack of ads - it wasn’t trying to sell you anything. This obviously will not continue; commercial pressures will direct AI efforts towards being a better ad pusher. So the AI of the social media sites will end trying to get the crap past your local AI filters, in a big AI arms race :)
I would say, bring it on! Nothing will make it past my phi-2 or mistral-7B-v0.1 ^^, at least for now.
I think what this could lead to is homogenization of the content serving layer, since all you'd really need is to get content to the user that can move their filters from one site to the other, the display layer being less relevant (and differentiating). But let's see, exciting times.
Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#46I'm using it to filter out the content that's displayed in my browser screen as I browse: https://karimjedda.com/llms-in-the-middle-content-aware-clie... Essentially, I wrote a small browser extension, that takes the content of LinkedIn, Twitter, YouTube posts/titles, and filters them out based on if they are clickbait, low effort, etc. It's liberating :D
That's awesome, I want to do something similar: categorize the content in social media, so I can choose what to see when I want. Sometimes I want to avoid politics, sometimes I'm ok with it, for example. Sometimes I want to see only content about game development. What's your plan with your project, will you turn it into a product for others, open source it, or neither? I would love it if it was either of the former!
Thank you very much for the supporting words, I've been getting lots of positive feedback from this. The end of year workload has made it such though that I need to be mindful of time. I think one of the two first options will be the way to go.
I'll post an update here as I always do with my small projects.
Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#47Jira issue generator. Custom GPT with instructions that outputs issues according to our issue templates in markdown. Allows me to write horribly typoed bullet point lists and get out surprisingly good issues. Gets me 80-90% done in a fraction of the time. I can then just edit them to get them to be what I need. What I'd really want to get working is a PR desription generator.
Gitbutler is doing that iirc and replit also might have sth like that
Currently GitButler only generates commit messages in this way (with some config options for style e.g. semantic commits). With that said, generating PR descriptions is something I was tinkering with this morning.
(disclaimer: I'm a GitButler co-founder)
Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#48I was overwhelmed by the pace of AI news and papers coming out, so I built an automated HN news monitoring service that delivers relvant news straight to my inbox or my RSS feed: https://www.kadoa.com/hacksnack It uses LLMs to extract, summarize, and tag the front page articles and classify the different perspectives in the comments. No more FOMO :)
Is this just for monitoring HN or other sites throughout the world?
I'd love to build a niche news service for a small market.
Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#49I'm attempting to create a frequency list of words for language learners. (In Japanese.) Commonly, these lists are based in just what word appears in the text at "surface" level. However, words commonly have multiple "senses" or nuances of meaning in which they are used. Dictionaries list these senses, but it has been traditionally hard to disambiguate which sense the word is used in, given an usage in text. LLM's ma…
Can you talk a little more about the process? I’m guessing you’re not just prompting gpt to list most common words. Are you asking the LLM to annotate text and then count number of annotations? How do you make sure that each disambiguation has a stable label throughout?
Basically, I have a big corpus of text (novels, as I'm interested in getting the learners to read) and a dictionary. I annotate the words using the dictionary, and then give the text context, the target word and the possible dictionary definitions as input to LLM, and I let it select or score, which definitions could be considered to "apply" given the context. Finally, I tally the counts.
The disambiguated senses are provided by the dictionary. Does that answer your question?
Re: Ask HN: What's the coolest non standard application of LLMs you've seen?
#50I'm attempting to create a frequency list of words for language learners. (In Japanese.) Commonly, these lists are based in just what word appears in the text at "surface" level. However, words commonly have multiple "senses" or nuances of meaning in which they are used. Dictionaries list these senses, but it has been traditionally hard to disambiguate which sense the word is used in, given an usage in text. LLM's ma…
Consider using fastText's word vectors. They have a bunch of languages that come pre sorted by frequency and are sufficient for basic word sense. Perhaps use a LLm to automate some of the disambiguation. https://fasttext.cc/docs/en/crawl-vectors.html https://news.ycombinator.com/item?id=13771292 (6 years ago) Aligning the fastText vectors of 78 languages https://github.com/babylonhealth/fastText_multilingual/blob/...
Thanks, I look into these.