Pandurang Kamat, CTO at Persistent, shares several other potential applications. “Zero-shot and few-shot learning techniques unlock opportunities in areas such as drug discovery, molecule ...

The applications of Zero-Shot Learning are far-reaching and have the potential to transform various industries. Some notable applications include: ...

Conversational AI With Zero-Shot Learning ZSL-powered conversational AI solutions eliminate the need for manually training the NLP model, helping businesses go live with their AI automation ...

The idea behind “zero shot learning” is credited to a 2008 paper in the prestigious AAAI ‘08 academic conference. However, the concept was propelled into human consciousness with Open AI’s ...

Zero-shot Learning: A machine learning approach that recognises unseen classes without prior labelled training data by leveraging shared properties among classes.

Zero shot learning. Similar to unsupervised learning, zero shot learning (ZSL) is a method of training an AI model to recognize and categorize objects or ideas, without having previously seen ...

With applications in computer vision, natural language processing, healthcare, and more, few-shot learning holds great potential to unlock advancements in various domains, making AI systems more ...