extension_methods

Comprehensive comparison of YaRN, ALiBi, and Position Interpolation based on published research.

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mkdir -p .claude/skills/extension-methods && curl -fsSL https://doutorai.pt/data/lib/skills__extension-methods.md -o .claude/skills/extension-methods/SKILL.md

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Content

# Context Extension Methods

Comprehensive comparison of YaRN, ALiBi, and Position Interpolation based on published research.

## Table of Contents
- YaRN (Yet another RoPE extensioN)
- ALiBi (Attention with Linear Biases)
- Position Interpolation
- Method Comparison

## YaRN: Yet another RoPE extensioN

**Paper**: arXiv 2309.00071 (2023)
**Authors**: Bowen Peng, Jeffrey Quesnelle, Honglu Fan, Enrico Shippole

### Overview

YaRN extends RoPE-based models to 128k+ context with 10× less training data than previous methods.

### Key Innovations

1. **NTK-aware interpolation**: Scales different fr

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