Do you have lots of data and are unsure of how to gain value from it? Do you think computer vision models require a large investment of hours of tagging and labeling data in order to work correctly? Well, this post will shed some light on how to avoid those extensive hours and loss of valuable time by using embeddings.
AI research is moving fast to make the creation of ML models faster and less dependent on humans. How? By moving towards machine learning models purely based on existing data without the need of hand labeling in order to create datasets.