Blog
Notes on machine learning, LLMs and the math behind them.
Reading notes
Series
Articles
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Why LLMs Struggle to Reason: The Limits of Autoregression
What energy-based models (EBMs), JEPA and World Models propose to get around the structural limits of LLMs.
9 min read
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Descriptive Statistics
Before diving into machine learning algorithms, we need a solid grounding in descriptive statistics, the tools that let us summarize and understand data at a glance.
14 min read
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From Math to Models
On studying machine learning in depth, from formal foundations to systems that truly work.
5 min read