Developers lack tools to diagnose when and why LLMs lose track of conversation context. A debugger could visualize attention patterns and context window boundaries during extended dialogs.
Start with a Jupyter notebook plugin that annotates model outputs with memory metrics. Sell to enterprise teams deploying conversational AI.
Rapidly changing model architectures may require constant updates.