machine-learning-list
The reading list systematically introduces fundamental and advanced machine learning concepts, especially focusing on language models. It serves as a guide to key principles, deployment strategies, reasoning techniques, and AI’s broader implications. Structured in tiers, it balances theory and practical application. Subjects include machine learning basics, transformers, training methods, and applications, with insights into AI safety, economic, and philosophical aspects — ideal for understanding and scaling machine learning models.
