Context extension technique for LLMs (research paper)
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NBCE (Naive Bayes-based Context Extension) is a plug-and-play library that enables any Large Language Model (LLM) to process arbitrarily long contexts without fine-tuning. It is designed for researchers and developers working with LLMs who need to overcome context length limitations for tasks involving extensive documents or conversations.
How It Works
NBCE leverages a formula inspired by Naive Bayes to extend context handling. This approach allows LLMs to effectively process and reason over much longer inputs than their native training limits, achieving linear efficiency with respect to context length. The method is model-agnostic, meaning it can be applied to various LLMs without requiring architectural changes or retraining.
Quick Start & Requirements
pip
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Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
The project is described as having "decent results" and is suitable for experimentation, suggesting it may not yet offer state-of-the-art performance across all tasks. The exact computational requirements can be substantial, especially for very long contexts.
7 months ago
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