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17min chapter
#447 – Cursor Team: Future of Programming with AI
Lex Fridman Podcast
Enhancing AI for Code Understanding
This chapter explores the potential of training AI models on codebases like VS Code through various methods such as continual pre-training and instruction fine-tuning. It emphasizes the importance of test time compute and discusses the complexities of model routing and optimization strategies in programming tasks. Additionally, the chapter delves into synthetic data methods and their applications, as well as the philosophical implications of AI decision-making in the software development landscape.
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