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#447 – Cursor Team: Future of Programming with AI
Lex Fridman Podcast
Maximizing Performance Through Sparse Models and Long Contexts
Next cursor prediction requires understanding the technical nuances of low latency and model training. Using small, efficient models is essential for this task, primarily due to their heavy reliance on pre-fill tokens and the necessity for processing extensive prompts with minimal token generation. Implementing a sparse model, specifically a mixture of experts (MOE) model, has proven to significantly enhance performance when working with longer contexts, enabling more effective handling of complex code scenarios.
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