Member-only story
Introduction to Hugging Face
I had a chance to attend to a talk in AWS Summit 2024 in Berlin called “Build a cost-effective conversational agent with Llama 2” where Philipp Schmid Technical Lead & LLMs at Hugging Face and Stefan Christoph Principal Solutions Architect at Amazon, runs a workshop and showed how to build your own conversational agent using Hugging Face and AWS!
I loved the talk and when I get home start exploring the Hugging Face hub and I loved it and I was like, I should write a post about my own experience of the platform from the pov of a software engineer who is in their beginning steps of LLMs universe.
My first impression was like, this is kind of similar to Github, and in a way it is. The Hugging Face Hub is a platform with thousands of models, datasets and applications ( spaces ), all open source and publicly available, in an online platform where people can easily collaborate and build ML together.
Repositories
All the models, datasets and spaces are hosted on the Hugging Face Hub as Git repositories, is a place where code and assets can be stored to back up your work, share it with the community, and work in a team.
