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GitHub's Primer design system migrated from CSS-in-JS to CSS Modules, resulting in 55% faster server-side rendering and 25% reduced client-side style computation time.
An introductory guide to computational semantics in artificial intelligence systems, covering foundational concepts and applications.
A tweet promoting a great weekend read on distillation as a primer for an upcoming live stream by Sergio Paniego and Ben Burtenshaw.
This primer paper explores how reasoning models improve after training, arguing that effective reasoning data relies more on checkable training evidence than raw data size. It categorizes reasoning data by verification methods and emphasizes preserving messy agent data for learning signals.
A comprehensive primer synthesizing over 150 public studies on post-training reasoning data, organizing the field around four key questions about data objects, usefulness, construction, and scaling.
Recommend 'The Little Book of Generative AI Foundations', a generative AI math fundamentals book covering core threads like PCA, SVD, VAE, diffusion models, targeted at agentic engineering practitioners.