Hi, thanks! The main difference is that HuggingFace contains a huge repository of pretrained models, whereas we're providing the scaffolding to build your own end to end applications. For example, in Slai you could actually embed a HuggingFace model (or maybe two models), combine them into one application, along with API serialization/deserialization, application logic, CI/CD, versioning, etc.

You can think of us as being a store of useful ML based microservices, and not just a library of pre-trained models.