The last few years have shown that large language models (LLMs) have impressive capabilities in analyzing, understanding and generating text in a human-like way — and they’re increasingly making inroads into people’s daily lives, for better or for worse.
But even the most powerful LLMs have limitations, especially when it comes to tasks that require bidirectional and long-term reasoning, complex planning, and maintaining coherence over extended contexts. These limitations arise because many of the current LLMs are based on a statistical…
