Deep Learning Architectures That Actually Work in 2025: From Transformers to Mamba to JEPA Explained
The deep learning landscape is shifting dramatically. While Transformers dominated the past five years, emerging architectures like Mamba and JEPA are challenging the status quo with superior efficiency, longer context windows, and competitive accuracy. This guide compares real-world performance, implementation complexity, and use cases to help you choose the right architecture.