You built a transformer ..great.
But before you start training your LLMs from scratch.
Follow this to avoid unstability and making costly computational mistakes
Genuine question for GenAI course instructors.
If you start directly with LLMs and GenAI, how do your students truly understand:
• Self-Attention weight calculations?
• Q, K, V tensor transformations?
• 4D tensor broadcasting across batches and heads?
• Why masking works?
Announcing offers of the week
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We have added FAANG video explanations to most labs now
Meanwhile, many of the world's top AI companies still ask questions like: Why does regularization help? Why ReLU over sigmoid? Why cross-entropy instead of MSE?