YaRN: Efficient Context Window Extension of Large Language Models
Extend a RoPE model to 128k by reshaping frequencies per wavelength — for a tenth of the tuning
Peng et al. · ICLR 2024 · Foundations. Read the paper ↗
A free, interactive, animated visual explainer of YaRN: Efficient Context Window Extension of Large Language Models — every exhibit computed from the real formulas, with verbatim quotes from the source.
Questions
- What is YaRN: Efficient Context Window Extension of Large Language Models?
- Extend a RoPE model to 128k by reshaping frequencies per wavelength — for a tenth of the tuning
- Who published YaRN: Efficient Context Window Extension of Large Language Models, and where?
- Peng et al. — ICLR 2024 (arXiv:2309.00071).
- Where can I find a visual explainer of YaRN: Efficient Context Window Extension of Large Language Models?
- Right here — a free, interactive, animated walkthrough of the whole paper, with exhibits computed from the real formulas and verbatim quotes from the source.
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