Natural Language Processing: NLP With Transformers in Python

Artificial Intelligence | AI on Instagram: "In the Subliminal paper’s proof, the authors explain subliminal learning with a simple idea: when the student tries to copy the teacher, its gradient updates (the small steps it takes while learning) tend to point in the same direction as the teacher’s parameters (e.g., weights and biases). They show this by looking at the dot product between the student’s gradient and the teacher’s vector of parameters. If that dot product is positive, it means the st