31–40 of 70 posts
Built vaporlens.app in my free time using LLMs (specifically gemini, first 2.0-flash, recently moved to 2.5-flash). It processes Steam game reviews and provides one page summary of what people thing about the game. Have been gradually improving it and adding some features from community feedback. Has been good fun.
I usually find that if a game is rated overwhelmingly positive, I'm gonna like it. The moment it's just mostly positive, it doesn't stay as a favorite for me.
Built vaporlens.app in my free time using LLMs (specifically gemini, first 2.0-flash, recently moved to 2.5-flash). It processes Steam game reviews and provides one page summary of what people thing about the game. Have been gradually improving it and adding some features from community feedback. Has been good fun.
I usually find that if a game is rated overwhelmingly positive, I'm gonna like it. The moment it's just mostly positive, it doesn't stay as a favorite for me.
What I found interesting with Vaporlens is that it surfaces things that people think about the game - and if you find games where you like all the positives and don't mind largest negatives (because those are very often very subjective) - you're in a for a pretty good time.
It's also quite amusing to me that using fairly basic vector similarity on points text resulted in a pretty decent "similar games" section :D
Getting those events onto a usable, sharable calendar is much easier now.
I built a SQL agent with detailed database context and a set of tools. It’s been a huge lift for me and the team in generating rather complex queries that would take non trivial time to construct, even if using cursor or ChatGPT.
I work for Hinge, the dating app. We use them for our "prompt feedback" feature, where the LLM gives constructive feedback on how to improve your prompts if it judges them as low-effort or clichéd.
If everyone is using it now prompts aren’t a good gauge.
Earlier quoted context omitted.
In other words, are you using LLM as a text classifier?
This is what I'm using it for as well, it's really simple to use for text classification of any sort.