Same memory, different model. Why do local 8B models use memory worse?

1. 1Build a brain-inspired memory engine for AI agents using FERNme
2. 2Test the memory engine with different reasoning models, such as a stronger API model and a lightweight local 8B model
3. 3Configure the memory and retrieval pipeline to be the same for both models
4. 4Run experiments to compare the performance of both models
5. 5Analyze the results to identify why the local 8B model may be using memory less efficiently

AI engineers and researchers working on AI agents and memory engines can benefit from understanding the relationship between memory and reasoning models, as it can impact the overall performance of their systems

💡 The efficiency of memory usage can vary greatly depending on the reasoning model used, even with the same memory and retrieval pipeline

🤖 Why do local 8B models use memory worse than stronger API models? 🤔