:wave: Welcome to the Building Generative AI Applications Workshop!

☑️ Objectives

By the end of this course you will:

• [ ] Learn how prompt engineering and fine-tuning should be used together to optimize the output of large pre-trained models
• [ ] Fine-tune a Large Language Model (LLM) or text-to-image diffusion model using a data-centric approach
• [ ] Deploy your very own Generative AI application to Hugging Face :hugs:

🏗️ Project-Based Learning

During this course, you will build, ship, and share your own end-to-end Generative AI application. Each individual/team will be judged on their application’s uniqueness, fine-tuning creativity, user experience, and by a single piece of content generated by their AI application. The winner(s) of the workshop’s competition will be announced at the next Deeplearning.ai + FourthBrain event! Good luck! 😊

:collision: Example Applications

This repo contains two example projects that we will demo during the workshop. Click on the product names below for more information.

• [ ] AiconOS is a Stable Diffusion project that allows you to generate more accurate and vibrant iOS icons based on textual descriptions. The project is open-source and welcomes contributions from the community.
• [ ] GenerAds is a fine-tuned BLOOM LLM marketing assistant that can help you generate quick, and catchy, advertisements for your products.