Stop Your LLMs from Forgetting: How a 2016 String Algorithm Solves AI's Biggest Memory Loss Problem
Have you ever tried to read a massive pile of reports and summarize them in under 50 words? It’s hard. Now, imagine asking a cutting-edge Large Language Model (LLM)—like Gemini—to do it.
You might think AIs have perfect memories, but they don’t. When forced to aggregate information from dozens of documents under strict length constraints, AIs suffer from severe “memory loss” biases. They either ignore the middle of your documents or completely forget the older information they read first.