121–130 of 349 posts
2. An embeddings-based job search engine: https://searchflora.com
3. I used LLMs to caption a training set of 1 million Minecraft skins, then finetuned Stable Diffusion to generate minecraft skins from a prompt: https://multi.skin
The last app, the only one that was deployed anywhere, is https://catchingkillers.com This app is a simple murder mystery game where the witnesses and the killer are ChatGPT bots. The first two stories are complete and active, the third is not complete yet. The first story of the working two is taken from another murder mystery group game https://www.whodunitmysteries.com/sour.html. The second story was highly influenced by ChatGPT.
It's a bit rough because I didn't spend too much time on it, but if anyone does signup to play, I'd love to hear feedback.
Example 1: i get an email from a potential customer that says they want [product A]. I can forward that email (or call notes) to salesforce (or somewhere) and it will understand the preference and the relevant customer and update that customer's profile.
Example 2: In a B2B context, lets say my customer is a company, and there is a news article about them. I could forward a link to the article to the LLM and it would understand that the article is about a customer, and append that article and key info about it to my saleforce record for that customer. The news item becomes an object that is linked to that customer (for call context, better sales targeting, profiling, etc).
Can someone help me build that?
It looks through past transcripts, topics, view counts, and other metadata so users can quickly learn what a Youtuber is all about.
The tool still needs a trust mechanism and a coherent incremental publishing strategy to be able to operate in a public fashion. Right now, running one node using my RTX 3060 it would take 1.2 years to do one split of the C4 dataset.
https://arxiv.org/abs/2401.16380
I've built several things! These include bots for code generation that you can tag onto issues, q&a on text etc. The thing I'm working on now is AI mock interviewing. It's basically scratching my own itch, since I hate leetcode prep, and have found I can learn better through interaction. To paste a blurb from an earlier comment of mine: I'm building https://comp.lol . It's AI powered mock coding interviews, FAANG sty…
Very cool, I signed up. I agree that practicing a coding interview is better under pressure. It's a much difference skill to solve a coding problem both under time pressure and pressure to speak your thoughts to entertain the interviewer. Only practice can help improve that skill.
Thanks for signing up, will send out an email once its ready to take for a spin!
I don't like selling. I wanted a way to practice cold calling in a realistic way. I set up a phone number you can call and talk to an AI that simulates sales calls. I ended up using it for more general purpose things because being able to have a hands-free phone call with an AI turned out to be pretty useful. It's offline now, but here's the code with all the stack and deployment info: https://github.com/kevingduck/C…
I don't like selling. I wanted a way to practice cold calling in a realistic way. I set up a phone number you can call and talk to an AI that simulates sales calls. I ended up using it for more general purpose things because being able to have a hands-free phone call with an AI turned out to be pretty useful. It's offline now, but here's the code with all the stack and deployment info: https://github.com/kevingduck/C…