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#machine-learning

2 posts tagged with this.

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Mar 2, 2026·17 min read

Automatic Differentiation

A deep-dive into automatic differentiation: symbolic vs. numerical vs. AD, AST transformation, dual numbers, tapes, hybrid methods, and a generic C++ implementation that computes gradients and solves optimisation problems.

c++math optimization

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Mar 1, 2026·9 min read

Detecting Hallucinations in LLM Summaries

LLMs write convincingly but fabricate facts. A practical tour of automated detection techniques: BERTScore, embedding similarity, ROUGE/n-gram overlap, NER-based cross-referencing, and QAEVAL.

machine-learning nlp llm

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