LLMs are great and can do mind-boggling things with their language comprehension capabilities. They have generative abilities that make them seem like oracles, but please caution yourself because they are not.

Stuffing an LLM into a recommender system does not solve all problems. In fact, they might create quite a few more than they will solve at this point.

That’s not to say that they don’t have a place in the world of RecSys, but it is another component rather than a replacement altogether. The idea that it will make behavioral data obsolete seems a bit naive to me. Language Models can enhance recommender systems. LLMs significantly enhance recommender systems by leveraging their advanced language comprehension capabilities to generate personalized recommendations. However, it’s essential to recognize their limitations. While they excel in understanding language, they may not adequately address all complexities of user behavior and context, potentially creating more issues than they solve.