Individual skill

long-context

Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use when processing long documents (32k-128k+ tokens), extending pre-trained models beyond original context limits, or implementing efficient positional encodings. Covers rotary embeddings, attention biases, interpolation methods, and extrapolation strategies for LLMs.

skills/emerging-techniques/long-context/SKILL.md

Source commit 3456bb4cfa534b491ca0f826a8c7e29919a8aaf4

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Observed behavior

Network or broad shell

Last checked

Nov 10, 2026

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