Batch Inference On Patient Cohorts With Memory Initialization

This package contains the code for training a memory-augmented GPT model on patient data. Please note that this is not the 'letta' company project with thehttps://github.com/letta-ai/letta; for use of their package, plsuse 'pymemgpt' instead.

Unique: Implements per-patient memory isolation within batch operations, allowing efficient processing without cross-contamination; uses memory pooling or partitioned indices to scale batch inference

vs others: More efficient than sequential per-patient inference; maintains memory isolation unlike naive batching approaches that might share context