vision transformer

When Transformers Sing: Adapting SpectralKD for Text-Based Knowledge Distillation

While working on my Knowledge Distillation problem for intent classification, I faced a puzzling roadblock. My setup involved a teacher model, which is RoBERTa-large (finetuned on my intent classification), and a student model, which...

The Rise of Open-Weight Models: How Alibaba’s Qwen2 is Redefining AI Capabilities

Artificial Intelligence (AI) has come a good distance from its early days of basic rule-based systems and easy machine learning algorithms. The world is now entering a brand new era in AI, driven by...

Sapiens: Foundation for Human Vision Models

The remarkable success of large-scale pretraining followed by task-specific fine-tuning for language modeling has established this approach as a regular practice. Similarly, computer vision methods are progressively embracing extensive data scales for pretraining. The...

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