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The Importance of Large Language Models in NLP
We had not that much experience with this yet, so we just started to experiment. What we propose is that it should be much more robust because every specific skill it's like developed by developers to solve specific problems. We are solving only this orchestration part which requires broad understanding. But all the fine grained details which are required for specific requests, they might be rule-based or maybe recognized by specifically trained models. To have a system with a good quality of responses you need to combine both LLMs to understand overall context and specific models to dig in to specific domain.