More I use flan-t5, more I realize Google has given us something very powerful Best to think of it as a smaller model that can be specialized, won't do everything out of the box Training multiple flan-t5s and coordinating them for a larger task is the way

Recently launched 🚀 Pyq AI makes it easy for developers to build features powered by AI. 💻 MLOPs Made Easy 💰 Scale at a Reasonable Price 💪 Designed for big models Founded by Aman Raghuvanshi & Emily Dorsey + backed by Y Combinator (W23) tryfondo.com/blog/pyq-launc…

Don't @ me

Recommender systems fans - go check this out!

here's what i've got so far: 📧 emails: resend.com 🔑 secrets management: Infisical 🤖 mlops: Pyq AI ... and as usual, it's a simple Supabase Next.js Vercel stack ⚡️

Quack quack

Catch our co-founder and CTO, emily, who will be speaking at the #CerebralValley AI Summit tomorrow! More details here: program.cerebralvalleysummit.com

optimize time to value: make sure users reach the “aha moment” in as little time & with as little effort as possible Pyq AI achieves this with their interactive model zoo 🦙

Big thanks to Arc for the post demo day wine!

Are you thinking about building your own LLM? Here's why you should (or shouldn't). pyqai.com/blog/why-organ…

You know what the biggest problem with pushing all-things-AI is? Wrong direction. I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes.