LLM Memory Test: Unveiling the Limits of Context Retention

This research delves into the fascinating challenges of maintaining instruction adherence within Large Language Models (LLMs). By testing the limits of context windows, it provides valuable insights into how these models can be improved for more reliable performance. The study's focus on breaking down LLM behaviors offers exciting opportunities for future development.

• •The study investigates the limits of an LLM's short-term memory by testing its ability to follow a simple instruction (no bullet points).
• •The experiment revealed that the LLM's adherence to the rule decreased after engaging in unrelated conversations.
• •The research suggests the importance of storing rules in files rather than solely relying on prompts for sustained adherence.