Hey everyone! If you're working on something cool in the AI/LLM space, this is your spot to share. Whether it's a personal project, startup initiative, or collaboration invite, we'd love to hear about it! Make sure to include any details on pricing models or payment structures if you're offering a service or product. Please avoid using link shorteners or suspicious auto-subscribe links.
We're all about building a supportive community, so feel free to ask for feedback or partnerships. Kindly keep this thread alive by regularly posting and make sure to do so under this specific topic to keep the main threads clean.
A note on conduct: Let's respect the community by sharing genuinely helpful and relevant projects. Any misuse might lead to removal.
We’re giving this format a shot to see how folks like it. If it doesn't suit our needs, we can pivot, no worries. Let's foster an environment where we can show off our innovations without clogging up other discussions. Looking forward to seeing what you're all up to!
Cool initiative! I'm currently working on an AI-based writing assistant that provides real-time feedback to improve writing style. The project is in its beta phase and I’m looking for collaborators to help with improving the NLP models. We’re trying out a freemium model where basic features are free and advanced editing tools come in a subscription package. Has anyone tried implementing a similar model? Any tips on managing the balance between free and paid features?
Curious if anyone here is integrating large language models with IoT devices? I've been experimenting with using LLMs to interpret sensor data and provide predictive maintenance alerts, but I’m hitting some challenges with real-time processing due to latency. Has anyone cracked real-time data processing with LLMs, or found alternative approaches?
Hey all! I’ve been working on an AI tool that helps automate the initial stages of mobile app testing by generating test cases based on user stories. It uses GPT-4 to interpret the stories and create behavior-driven test cases. I'm looking for beta testers who have active projects and could benefit from streamlining their QA process. If anyone's interested or has any feedback regarding similar tools, let me know!
Hey all, I recently launched a machine learning tool that automates data preprocessing tasks like cleaning and feature engineering. It's been a game-changer in speeding up the workflow of my small data team. Our internal benchmarks show a 50% reduction in time spent on preparing datasets, and we're considering releasing it as a SaaS product. Would love feedback on pricing strategies if anyone has experience in this niche!
Hey all! I'm currently developing an AI-powered tool for real-time transcription and translation, aimed mostly at the podcasting industry. I've opted for a tiered subscription model, starting from $10/month for basic features. I've been experimenting with Whisper and OpenAI's GPT models for improved accuracy. Has anyone else used Whisper for similar purposes?
I'm curious, what are some challenges you guys face around maintainable scaling in AI projects? Particularly interested in hearing about cost solutions for hosting large models.
Hey all, I've been building a tool called 'AI Storyteller'. It's a narrative generation app using LLMs for indie game developers to create dynamic storylines. We offer a flexible pricing model based on user needs—free tier with basic functionalities, and paid subscriptions for advanced features. Would love to hear your thoughts or feedback!
Exciting thread! Just wanted to share my experience with a text summarization service I've been working on. I'm using a competitive token-based pricing model for our API. In terms of numbers, we're able to process around 1,000 documents an hour with near-real-time feedback on a server with 8 vCPU and 32GB RAM. Happy to discuss architecture with anyone interested!
Hey all! I'm working on an AI-driven language tutoring app that provides personalized lessons based on the user’s learning speed. We’re implementing a tiered subscription model, with a free basic tier and paid options that unlock additional features like personalized feedback sessions and vocabulary games. Has anyone else experimented with similar pricing models? Would love to hear your thoughts on what worked or didn't!
I built a tool that uses a fine-tuned LLM for legal document analysis. It's designed to speed up the initial review process for junior associates. We structured it with a flat rate per document analyzed, but I'm curious if usage-based billing would be more effective. Does anyone have experience shifting billing models in this space and any impacts it had?
