Congratulations on making it to the end of this short course. In this course, you've gained insights into the selection of open source models for text, audio, and images, all available on the Hugging Face Hub. You built multiple applications such as a chatbot, a speech transcriber, and an object detector, to name a few. Now you know how to build a functional prototype for your application using Gradio, and how to quickly deploy it with Hugging Face Spaces. Moving forward, you will be able to navigate the large landscape of open source models. Consider the pipelines you've constructed as foundational building blocks, and explore the boundless opportunities for creativity they offer. Combine them to create new, unique applications. Sky's the limit. None of this would have been possible without the collaborative spirit of the open source community. Thousands of people, researchers, engineers, educators, and thinkers, have contributed to the creation of these open source models. We've contributed to open source by sharing models and datasets on the Hugging Face Hub, by opening pull requests to open source libraries, and by engaging in discussions that lead to new ideas. The progress in AI we witnessed today owe much to the open source community. We extend our heartfelt appreciation to all those who contribute to its progress. We encourage you to explore other machine learning tasks and models available on the Hugging Face Hub. Build innovative applications and share your creations with others. Share your creations with the community to inspire others with what you build. If you find this course helpful, maybe you can even share it with your friends.