Explore the craft of designing and optimizing inputs to guide AI models toward generating desired, accurate outputs.

Understand how words and concepts are converted into numerical vectors that capture semantic meaning and relationships in vector space.

Learn about the basic units into which text is divided for processing, the foundation of how language models understand text.

Discover massive AI models trained on vast text data that can understand and generate human-like text across diverse applications.

Explore the AI field dedicated to helping computers process, interpret, and generate human language as it's spoken and written.

Understand how AI quantifies the difference between predicted and actual outputs to measure and optimize model performance.

Learn about the fundamental optimization algorithm that trains machine learning models by iteratively adjusting parameters to minimize loss.

Explore how multiple attention operations run in parallel, each capturing different types of relationships within the data.

Discover how sequences attend to themselves, allowing each position to consider all other positions when computing representations.

Understand how models learn to focus on relevant parts of input by assigning weights, dramatically improving sequence processing tasks.