51. In PCA, what do eigenvalues primarily indicate?
Tags: LLM
52. What is the major advantage of multi-head attention?
Tags: LLM
53. What is the primary purpose of positional encoding in a transformer?
Tags: LLM
54. Which statement best describes a discriminative model?
Tags: LLM
55. Which of the following is a technique used to reduce overfitting?
Tags: LLM
56. Which transformer feature allows tokens to be processed simultaneously rather than sequentially like traditional RNNs?
Tags: LLM
57. How can LLMs process previously unseen or rare words using subword tokenization?
Tags: LLM
58. In model distillation, what is the role of the student model?
Tags: LLM
59. Which technique combats catastrophic forgetting by mixing old and new training data?
Tags: LLM
60. Why is prompt engineering particularly useful for zero-shot and few-shot tasks?
Tags: LLM
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