Determining the value of housing is a classic example of using machine learning (ML). In this post, we discuss the use of an open-source model specifically designed for the task of visual question answering (VQA). With VQA, you can ask a question of a photo using natural language and receive an answer to your question—also in plain language. Our goal in this post is to inspire and demonstrate what is possible using this technology.
Originally appeared here:
Use foundation models to improve model accuracy with Amazon SageMaker
Go Here to Read this Fast! Use foundation models to improve model accuracy with Amazon SageMaker