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Awesome GitHub RepositoriesDynamic Memory Integration
Integration of dynamic external memory states into the inference process to expand LLM knowledge capacity.
Distinct from Large Language Models: Focuses specifically on the integration of external memory states into inference, not general LLM resources.
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Awesome Dynamic Memory Integration 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
Expands the knowledge capacity of language models by integrating dynamic external memory states during inference.
Python
