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Introduction to Language Modeling
Short video describing the module's objectives and tasks
Explore the foundations of statistical and neural language modeling. Learn how n-gram models predict the next token, how Laplace smoothing handles unseen sequences, how perplexity evaluates model quality, and how recurrent neural networks can generate text.
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Large Language Models: Build, Fine-Tune and Deploy LLMs
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Large Language Models: Build, Fine-Tune and Deploy LLMs
