If your AI can't handle a long text, can it really handle your business? Researchers from Bar-Ilan University and the Allen Institute for AI (AI2) found that as text inputs grow, large language models (LLMs) start to fumble, showing a notable drop in reasoning even before hitting their supposed limit.
They didn't just stumble upon it; they crafted a whole framework to test it, revealing a decline in performance with long inputs filled with both relevant and irrelevant information.
And here's the kicker: traditional metrics like perplexity don't even see this coming.
So what does this mean for those integrating AI into their work processes? Well, it's a stark reminder that while AI can take on tactical work, it still requires that human touch for smart briefing and strategic oversight.
The researchers 👏: Mosh Levy, Alon Jacoby, Yoav Goldberg
And as always, the full research - https://arxiv.org/pdf/2402.14848.pdf
