Top 5 Interview Questions on Multi-modal Transformers

This article was published as a part of the Data Science Blogathon. Until recently, developing new, improved transformers specifically for a single modality was common practice. However, to tackle real-world tasks, there was a pressing need to develop multi-modal transformers models. Multi-modal transformers models are the type of models that employ the process of learning representations from different modalities using a single model. Input modalities for machine learning include photos, text, audio, etc. Multi-modal learning models the combination of different modalities of data, which often arise in real-world applications.