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I know the reputation that AI has on Lemmy, however I've found that some users (like myself) have found that LLMs can be useful tools.

What are fellow AI users using these tools for? Furthermore, what models are you using that find the most useful?

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[–] darkangelazuarl@lemmy.world 14 points 2 days ago
[–] Balerion@piefed.blahaj.zone 62 points 3 days ago (5 children)

AI is great at helping me multitask. For example, with AI, I can generate misinformation and destroy the environment at the same time!

[–] Rhynoplaz@lemmy.world 30 points 3 days ago (1 children)

Shit. Where I come from, people don't need AI for that. They just hang a Trump flag in the back of their truck and roll coal through town.

[–] tpihkal@lemmy.world 2 points 2 days ago

Why not both ¯\(ツ)/¯ ?

[–] electric@lemmy.world 24 points 3 days ago

It sucks so much that if the US kept up with green energy infrastructure (or nuclear power) all these datacenters (not just AI) could be running on abudant and cheap power without killing our environment.

xAI running off of fucking diesel generators should be a crime but environmental and human health issues get less attention than "look everyone it called itself Hitler, so crazy!!!!"

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[–] TootSweet@lemmy.world 39 points 3 days ago* (last edited 3 days ago) (1 children)

A lot of what we take for granted in software now days was once considered "AI". Every NPC that follows your character in a video game while dynamically accounting for obstacles and terrain features uses the "A* algorithm" which is commonly taught in college courses on "AI". Gmail sorting spam from non-spam (and not really all that well, honestly)? That's "AI". The first version of Google's search algorithm was also "AI".

If you're asking about LLMs, none. Zero. Zip. Nada. Not a goddamned one. LLMs are a scam that need to die in a fire.

Also a lot of things that were considered automations before are now rebranded to ai. They are still often good as well.

[–] ShittyBeatlesFCPres@lemmy.world 25 points 3 days ago* (last edited 3 days ago) (2 children)

I don’t think there’s many consumer use cases for things like LLMs but highly focused, specialized models seem useful. Like protein folding, identifying promising medication, or finding patterns in giant scientific datasets.

[–] wildncrazyguy138@fedia.io 7 points 3 days ago

I use it to help give me ideas for DND character building and campaigns. I used it to help me write a closing poem for my character who sacrificed himself for the greater good at the end of a long 2 year run. It gave me the scaffold and then I added some details. It generated my latest character picture based upon some criteria.

Otherwise, it gave me some recommendations on how to flavor up a dish the other day. Again I used it but added my own flair.

I asked it a question to help me the remember a movie title based upon some criteria (tip of my tongue style) it nailed it spot on.

I’ll tell you one place I hated it today. The Hardee’s drive through line. Robot voice drives me up the wall.

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[–] ace_garp@lemmy.world 16 points 3 days ago* (last edited 1 day ago)

I tried Whisper+ voice-to-text this week.

Uses a downloaded 250MB model from Hugging-Face, and processes voice completely offline.

The accuracy is 100% for known words, so far.

For transcribing texts, messages and diary entries.

* I'd be interested to know if it has a large power drain per use.

[–] scytale@piefed.zip 17 points 3 days ago (1 children)

LLMs can be useful in hyperfocused , contained environments where the models are trained on a specific data set to provide a service for a specific function only. So it won’t be able to answer random questions you throw at it, but it can be helpful on the only thing it’s trained to do.

[–] chaosCruiser@futurology.today 10 points 3 days ago

Also known as “narrow AI”. You know like a traffic camera that can put a rectangle on every car in the picture, but nothing else. Those kinds of narrow applications have been around for decades already.

[–] sem@lemmy.blahaj.zone 3 points 2 days ago

The only thing that comes to mind is I wanted to make a shell script that moved every file in a directory to another directory, but one at a time, slowly, and I didn't want to learn sh from scratch, so I asked an LLM for a script that would do it.

The script didn't work, but I was able to figure out how to fix it better than write it from scratch.

I felt bad for the environment I was destroying, and I would never pay for this shit.

[–] nocturne@slrpnk.net 7 points 3 days ago
[–] PeriodicallyPedantic@lemmy.ca 3 points 2 days ago

Honestly I'm part of the problem a little bit.

In my hobby project I used GitHub copilot, to help me ramp up on unfamiliar tech. I was integrating three unfamiliar platforms in an unfamiliar program language, and it helped expose the APIs and language features I didn't know about. It was almost like a tutorial; it'd make some code that was kinda broken, but fixing it would introduce me to new language features and API resources that would help me. Which was nice because I struggle to just read API specs.

I've also used it when on my d&d campaign to create images of new settings. It just a 3 player weekly game so it's hard to justify paying an artist for a rush job. Not great, I know. I hope the furry community has more backbone than I do, because they're singlehandedly keeping the illustration industry afloat at this point.

[–] 30p87@feddit.org 10 points 3 days ago (1 children)

"AI" as in the hyped and since 5 years mainstream "Generative AI": Jetbrains' locally run code line completion. Sometimes faster than writing, if you have enough context.

Machine learning stuff that existed well before, but there was exactly 0 hype: Image tagging/face detection.

[–] pokexpert30@jlai.lu 4 points 3 days ago

Jetbrains local completion isnt even a llm, it's a sort of ML fuckery that's very low on compute requirement. They released it initially just before the ai craze

[–] st3ph3n@midwest.social 13 points 3 days ago

The only AI tool I've found actually useful and reliable is AI denoise for photo editing.

[–] MIDItheKID@lemmy.world 9 points 3 days ago (1 children)

I used GPT to help me plan a 2 week long road trip with my family. It was pretty fucking awesome at finding cool places to stop and activities for my kids to do.

It definitely made some stupid ass suggestions that would have routed us far off our course, or suggested stopping at places 15 minutes into our trip, but sifting through the slop was still a lot quicker than doing all of the research myself.

I also use GPT to make birthday cards. Have it generate an image of some kind of inside joke etc. I used to do these by hand, and this makes it way quicker.

I also use it at work for sending out communications and stuff. It can take the information I have and format it and professionalize it really quick.

I also use it for Powershell scripting here and there, but it does some really wacky stuff sometimes that I have to go in and fix. Or it halucinates entire modules that don't exist and when I point it out it's like "good catch! That doesn't exist!" and it always gives me a little chuckle. My rule with AI and Powershell is that I don't ask it to do things that I don't already know how to do. I like to learn things and be good at my job, but I don't mind using GPT to help with some of the busy work.

[–] sem@lemmy.blahaj.zone 1 points 2 days ago* (last edited 2 days ago)

I got an email once from HR that said I got a bike commuter benefit I didn't know about, and couldn't find more information about in the attachment, so I emailed HR and it turns out they used AI to write the email, and wouldn't be giving out any corrections or bike commuter benefits. Bullshit.

[–] electric@lemmy.world 9 points 3 days ago (2 children)

Copilot in VScode is something you'd have to tear out of my cold, dead hands. Pressing Tab to auto complete is so useful. I use the GPT 4.1 model or whatever it is called. I tried Gemini but for some reason it's complete ass when doing code. Android Studio Gemini is worse than the free tier on the website.

However, I've found the Gemini Pro model on the website is incredibly good for information assistance. To give an idea of my current uses, I have two chats pinned on it: fact checking and programming advice. I use the former for general research that would take more than a few minutes of Googling but need an answer now, and the latter for brainstorming code design or technical tutorials (recently had it help me set up a VM in WSL).

One tool I wish I could use is ElevenLabs. Had a friend on the free tier of it make some really cool and convincing voice lines (I forgot what character it was) a long time ago. Looks easy to use too. I can't justify spending money just to play with it but if I had a purpose for it, I would.

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[–] Perspectivist@feddit.uk 7 points 3 days ago (1 children)

I use ChatGPT every single day, and I find it both extremely useful and entertaining.

I mainly use it to help edit longer messages, bounce ideas around, and share random thoughts I know my friends wouldn’t be interested in. Honestly, it also has pretty much replaced Google for me.

I basically think of it as a friend who’s really knowledgeable across a wide range of topics, excellent at writing, and far more civil than most people I run into online - but who’s also a bit delusional at times and occasionally talks out of their ass, which is why I can’t ever fully trust it. That said, it’s still a great first stop when I’m trying to solve a problem.

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[–] FaceDeer@fedia.io 8 points 3 days ago (2 children)

https://notebooklm.google.com/ is really handy for various things, you can throw a bunch of documents into it and then ask questions and chat interactively about their contents. I've got a notebook for a roleplaying campaign I'm running where I've thrown the various sourcebook PDFs, as well as the "setting bible" for my homebrew campaign, and even transcripts of the actual sessions. I can ask it what happened in previous episodes that I might have forgotten, or to come up with stats for whatever monster I might need off the cuff, or questions about how the rules work.

Copilot has been a fantastic programming buddy. For those going a little more in depth who don't want to spring for a full blown GitHub Copilot subscription and Visual Studio integration, there's https://voideditor.com/ - I've hooked it up to the free Gemini APIs and it works great, though it runs out of tokens pretty quickly if you use it heavily.

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[–] herbz@lemmy.ml 2 points 2 days ago

My CRM system at work has what called "Genius AI" integrated into it. When customer service reps receive calls that require site visits the AI auto fills the work ticket using the phone conversation adds in contact name and numbers and even puts a brief description of what service they require. The AI also transcribes our calls into text to be able to refer back to or get caught up on a job when someone is out sick. It wasnt Iife changing it wasnt forced but as a simple aid it makes life a bit easier.

[–] Treczoks@lemmy.world 3 points 2 days ago

The one that the other department tried, and which failed to meet expectations dramatically. Gave management a healthy dose of reality on "AI".

[–] JizzmasterD@lemmy.ca 7 points 3 days ago (1 children)

DeepL for translation. It’s not perfect but it feels so much better than those associated w/ search engines.

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[–] FeelzGoodMan420@eviltoast.org 3 points 2 days ago

I use it to create funny shitpost copypasta-like outputs that I send to my friends in our personal group chats. Otherwise it's fucking useless.

[–] Aatube@kbin.melroy.org 6 points 3 days ago
[–] Quadrexium@sopuli.xyz 2 points 2 days ago

Supermaven code autocomplete in vscode is really nice

[–] brucethemoose@lemmy.world 5 points 3 days ago* (last edited 3 days ago)

I run LLMs locally for scripting, ADD brainstorming/organization, automation, pseudo editors and all sorts of stuff, as they’re crazy good for the size now.

I think my favorites are Nemotron 49B (for STEM), Qwen3 finetunes (for code), some esoteric 2.5 finetunes (for writing), and Jamba 52B (for analysis, RAG, chat, long context, this one is very underrated). They all fit in 24GB. And before anyone asks, I know they’re unreliable, yes. But they are self hosted and tools that work for me.

I could run GLM 4.5 offloaded with a bit more RAM…

[–] aramis87@fedia.io 5 points 3 days ago

Uh, kinda, maybe? Most use cases are things that I don't really see the use of, or have found to produce more flawed results than previous ways of doing things.

However, a couple years ago, someone on reddit said their perfect use case was using AI to hunt down things you enjoyed but have forgotten the titles of - books, movies, tv series, songs, videogames, etc.

Well, I have a few of those half-forgotten items, where I've remembered snippets of things but have no idea what they actually were called. I've tried looking them up over the years with regular search engines, with no luck. And a few times in the past couple years, I've used random AI engines to try to track these titles down.

And the thing is, AI absolutely has not been able to tell me what the titles to anything was. However, in trying to come up with more details to pass to AI, I've accidentally found other webpages that helped me find what I was looking for. Like, one of the things I was looking for was a horribly bad 1970's tv movie and, in my latest search for the title, on like page 8 of my google/duckduckgo results trying to find something to feed the AI from what little I remembered, I ran across a website that lists the cast and plot of, like, every tv movie. Not just top ten, or people that became big stars later, or horror movies or whatever, but every movie from like the 50s /60s on. And I sat on that website and read through the high-level plotline of every tv movie from, like 1968 on, and eventually found the movie.

There was a book where I remembered the first name of the main character and a very specific scene, even some of the exact words, and the three AI engines I tried couldn't tell me anything. But in searching for more details (and I had tried serving for it before), I eventually ran across a book site that helped me out. Interesting thing: when I passed direct quotes to AI, they couldn't tell me, when I asked what books had that plot, they couldn't tell me, but if I asked if a specific scene happened in the book, they said it was there.

I have one game that I'm still searching for, but AI engines have inadvertently helped me find most of the rest of my wishlist.

LLMs are pretty good for language learning. I often ask ChatGPT to converse with me in Japanese or help me make a sentence sound more natural.

[–] Aurenkin@sh.itjust.works 4 points 3 days ago (1 children)

I've found LLMs in general helpful for coding specifically when I have to use tools or languages that I only have a passing familiarity with.

In my life I've used Gemini for some fitness coaching alongside other sources of information and it has been quite helpful and motivating.

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