Hello all - I'm Emily, co-founder CTO of pyq! Thanks so much for stopping by and taking a look at what we've built. So why did you build this? 🤔 We built Pyq because it took too long to build features that were powered by AI at our previous jobs. A lot of people want to get started using AI, but struggle because of the difficulties involved in managing infrastructure, finding the right model and learning how to call it. There are many interesting and useful models in places like Github or Hugging Face, as well as specific applications of popular models like OpenAI’s GPT, but they require a decent amount of work/knowledge to get working in your app. What does pyq do? 🚀 We identify use cases of various AI models and provide straightforward APIs tailored to those use cases. We use both open-source models and popular providers such as OpenAI. This allows for easy and fast integration into apps. Rather than starting with the model, experimenting to see if it can actually do what you want it to, learning about deployment and serving, developers can just make a POST call to start using AI. We have a prepaid, usage-based pricing model. Every model has a “spot price” - the cost of 1 second of compute. This is available on each model’s page in our ‘Zoo.’ If you have a custom modell, we will give you your initial price manually and adjust it up or down over time depending on your needs. How does it work? ⚙️ We provide straightforward APIs tailored to those use cases. We use both open-source models and popular providers such as OpenAI. This allows for easy and fast integration into apps. Rather than starting with the model, experimenting to see if it can actually do what you want it to, learning about deployment and serving, developers can just make a POST call to start using AI. You can also deploy a custom model with us if you have one in mind! Please try it out and ask questions below!