Adapting

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...

Adapting for AI’s reasoning era

As AI systems that learn by mimicking the mechanisms of the human brain proceed to advance, we're witnessing an evolution in models from rote regurgitation to real reasoning. This capability marks...

Eternally Learning: Why AI Struggles with Adapting to Latest Challenges

|AI|CONTINUAL LEARNING|DEEP LEARNING LIMITS|Understanding the bounds of deep learning and the search for true continual adaptation“The sensible adapt themselves to circumstances, as water moulds itself to the pitcher.” — Chinese Proverb“Adapt or perish, now...

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