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Curse of Dimensionality in Traditional Language Models
The 'curse of dimensionality' in the context of traditional language models, such as n-gram models, refers to the challenge posed by representing words as discrete, individual units. This approach leads to an extremely high-dimensional and sparse feature space, as the number of possible word sequences grows exponentially with vocabulary size and context length. This sparsity makes it difficult for models to generalize from the training data and effectively estimate probabilities for unseen n-grams.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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Huge Language Models
N-Gram Representation
Bigram Model
N-Gram Model
Sentence Generation from Unigram Model
Unknown Words and Problem of Sparsity
Historical Significance and Applications of N-gram Models
A statistical language model is built to predict the next word in a sentence based on the probability of it occurring after the preceding sequence of words. This model is trained exclusively on a massive corpus of texts written in the 19th century. When this model is prompted with the partial sentence, 'To save the file, the user clicked the...', which outcome is the most probable explanation for its behavior?
Curse of Dimensionality in Traditional Language Models
Analyzing Zero Probability in an N-gram Model
Evaluating N-gram Model Complexity
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Neural Language Models (NLMs)
A data scientist is building a language model to predict the next word in a sequence. The model estimates the probability of a word based on the four words that precede it, using counts from a massive text corpus. Despite the large training dataset, the model performs poorly on new sentences, frequently assigning a probability of zero to perfectly plausible word sequences. Which of the following statements best analyzes the fundamental reason for this failure?
Scaling Issues in Statistical Language Models
Diagnosing a Failing Autocomplete System