This post revisits C. R. Rao’s statistical classic, reviewing the history of statistics and the problems that emerged as the discipline developed.
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High-Dimensional Data and Statistics: Challenges, Theory, and Methods
In the big data era, feature dimensions often exceed sample sizes, making traditional statistical methods unstable. This post discusses computational, perceptual, and statistical challenges in high-dimensional data.
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Does LLM Bring Equality?
LLMs make access to knowledge, explanation, translation, and expression cheaper than ever, but equal access to answers is not the same as equal understanding, judgment, or learning paths.
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PocketFlow Source Walkthrough: Understanding Agent Flow Abstractions in 100 Lines
Walks through PocketFlow’s BaseNode, Node, Flow, Batch, and Async implementations to explain how a minimal LLM agent framework organizes workflows with graphs, shared state, and node protocols.