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.

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

Unit 1: Understanding Attention Mechanisms

Unit 2: Troubleshooting Prompt Outputs

Unit 3: Engineering Effective Prompts