AI Engineering Reading Notes — Chapter 3: Evaluation Methodologies
How do we know an AI application is good enough? Notes on measuring predictions, testing outcomes, comparing answers, and evaluating the judges themselves.
Foundation Models
AI Engineering Reading Notes — Chapter 2: Understanding Foundation Models
Understanding what shapes a foundation model: the data it learns from, its architecture, how it is trained to answer, and how it selects output tokens.
AI Engineering Reading Notes — Chapter 1: Foundation Models
Reading Chapter 1 of AI Engineering: how language models learn, what makes a foundation model useful, and why adapting an existing model is a practical starting point.