Core NLP Concepts for Prompt Engineering: Tokenization, Embeddings, and Attention Mechanisms
Master the foundational NLP concepts of tokenization, embeddings, and attention to engineer highly effective and precise prompts for generative AI models.
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Understanding Text Representation: Tokenization and Embeddings
Unit 1: The Building Blocks of Language Models: Tokenization
Unit 2: Giving Meaning to Numbers: Embeddings
Optimizing Prompts with Attention Mechanisms and Troubleshooting