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.

tests/ext_conformance/artifacts/templates-davila7/cli-tool/components/skills/ai-research/emerging-techniques-long-context/SKILL.md

Source commit a177737d6df6a543d21d3b7ee6163ec715d24aa8

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Last checked

Nov 8, 2026

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