Long Context
orchestra-research/ai-research-skills/19-emerging-techniques/long-contextby orchestra-research773a52944ba4MIT13K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 months ago
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.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/extension_methods.md | 14.2 KB | text/markdown |
| references/fine_tuning.md | 16 KB | text/markdown |
| references/rope.md | 11.8 KB | text/markdown |
| SKILL.md | 15.2 KB | text/markdown |
Source and attribution
Source:orchestra-research/ai-research-skillsin19-emerging-techniques/long-contextat commit773a529
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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