Leading AI expert Andrew Ng is back with another free short course called Building Generative AI Applications with Gradio, in association with Hugging Face. One will learn how to develop and demo machine learning applications fast in this course. Apolinário Passos, an ML Art Engineer at Hugging Face, will teach the course, which is meant for beginners.
Participants will experiment with a variety of Gradio-based activities during the course, such as text summarization, image captioning, and image production. With the help of the open-source Gradio Python library, users can quickly create customizable user interface elements for their machine learning model or any API and create user-friendly applications that can be used by people who are not programmers.
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With a few lines of code, students will be able to develop a user-friendly app to take input text, summarize it with an open-source LLM, and display the summary. They will also create an app that lets the user upload an image, which uses image captioning to describe the image uploaded, and display both the image and its caption in the app.
Students will create an app that takes text and generates an image with a diffusion model, then displays the generated image within the app.
They will also create an interface to chat with an open source large language model using Falcon, the best-ranking open source LLM, according to the Open LLM Leaderboard.
After completing the one-hour training, you will have acquired useful skills for creating interactive apps and demos that will speed up project implementation and validation. Anyone who has basic Python knowledge and wants to learn to build and share apps and demos using Gradio, is eligible for the course.
