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Awesome GitHub RepositoriesMemory-Based Augmentation
Enhancing model performance on specialized tasks using external memory modules without full retraining.
Distinct from Tool-Augmented Language Models: Focuses on augmentation via external memory weight stores rather than augmentation via active tools or plugins.
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Awesome Memory-Based Augmentation GitHub Repositories
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- deepseek-ai/engram
deepseek-ai/Engram
4,462عرض على GitHubEngram is a dynamic knowledge retrieval system and memory augmentation framework for large language models. It functions as a scalable memory lookup layer and sparse architecture component designed to fuse static model knowledge with dynamic external states to improve factuality and reduce hallucinations. The system utilizes conditional memory retrieval and differentiable memory addressing to map input tokens to specific indices within a large-scale associative memory store. This allows the model to increase its total available parameters by storing weights in external lookup tables and activ
Enhances performance on specialized tasks using external memory modules without requiring full network retraining.
Python
