131–140 of 349 posts
* I built a real life Pokedex to recognize Pokemon [video] https://www.youtube.com/watch?v=wVcerPofkE0
* I used ChatGPT to filter nice comments and print them in my office [video] https://www.youtube.com/watch?v=AonMzGUN9gQ
* I built a general purpose chat assistant into an old intercom [video] https://www.youtube.com/watch?v=-zDdpeTdv84
Again, nothing terribly useful, but all fun.
I'm building a weight-loss app that leverages LLM to do 2 things: 1. Analyze calories/macronutrients from a text description or photo 2. Provide onboarding/feedback/conversations like you'd get from a nutritionist https://www.fatgpt.ai/ My stack is Ruby on Rails, PostgreSQL, OpenAI APIs. I chose Rails because I'm very fast in it, but I've found the combination of Rails+Sidekiq+ActionCable is really nice for building…
> 1. Analyze calories/macronutrients from a text description or photo Step 1: Is it a hot dog or not hot dog? https://www.youtube.com/watch?v=ACmydtFDTGs I'm glad someone is keeping the dream alive!
- In my chipotle bowl, it can tell if I had brown rice vs white rice
- In my In-n-out, it can tell if I got it protein style
It struggles with accurate weights/volumes but I'm excited about where this is going.
We built Jumprun. You can use it to research and analyze data sources, and it'll produce beautiful canvases with tables, charts, videos, maps, etc. We're working on automations so you can setup natural language trigger conditions that execute actions. We built it in Kotlin with Ktor server, htmx and tailwind. It uses a mixture of models, including gpt4-turbo, gpt4-vision and gemini-pro-vision. It's deployed using Kam…
I have built a webapp for translating srt files: https://www.subsgpt.com GPT-4 excels as a translator, but it often encounters issues with content warnings and formatting errors when translating entire subtitle files via ChatGPT. The solution is straightforward: divide the subtitle file into sections, focusing solely on translating the text and disregarding the timestamps. While it's feasible to have ChatGPT maintain…
I've built a sales bot that would go over a predefined sales scenario like a real human would, being able to jump between steps and work with any complications real conversation would throw at it. It would appear fully human to whoever converted with it. Unfortunately, it was never deployed in production due to business reasons.
I'm building a weight-loss app that leverages LLM to do 2 things: 1. Analyze calories/macronutrients from a text description or photo 2. Provide onboarding/feedback/conversations like you'd get from a nutritionist https://www.fatgpt.ai/ My stack is Ruby on Rails, PostgreSQL, OpenAI APIs. I chose Rails because I'm very fast in it, but I've found the combination of Rails+Sidekiq+ActionCable is really nice for building…
It's macro + calorie tracking over text message. You just text what you eat and it matches against a food database to estimate your food intake. It's basically an easier alternative to MyFitnessPal.
My stack is OpenAI on Azure, Vercel, Convoy, FatSecret API, Postmark, NextJS.
1. Games you can play with word2vec or related models (could be drop in replaced with sentence transformer). It's crazy that this is 5 years old now: https://github.com/Hellisotherpeople/Language-games
2. "Constrained Text Generation Studio" - A research project I wrote when I was trying to solve LLM's inability to follow syntactic, phonetic, or semantic constraints: https://github.com/Hellisotherpeople/Constrained-Text-Genera...
3. DebateKG - A bunch of "Semantic Knowledge Graphs" built on my pet debate evidence dataset (LLM backed embeddings indexes synchronized with a graphDB and a sqlDB via txtai). Can create compelling policy debate cases https://github.com/Hellisotherpeople/DebateKG
4. My failed attempt at a good extractive summarizer. My life work is dedicated to one day solving the problems I tried to fix with this project: https://github.com/Hellisotherpeople/CX_DB8
request - i want an LLM tool that can process raw text or email and update or create salesforce records. 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 compa…