Imagine a world where machines truly grasp the nuances of human conversation, seamlessly navigating the complexities of extended dialogues and understanding the subtle dance of intent, domain, and specific information exchanged. That's the promise of Natural Language Understanding (NLU), a critical field within AI that strives to bridge the gap between human communication and machine comprehension. While Large Language Models (LLMs) excel at generating human-like text, they often falter when deciphering the underlying meaning within dialogues. Traditional NLU models focus on single turns in conversations, mapping utterances to intents and identifying key information slots. However, real-world conversations flow across multiple turns, demanding models that track context and integrate information from previous exchanges. This is where multi-turn NLU takes center stage. Researchers have struggled to build unified models that effectively handle the complex interplay of different levels of information in multi-turn dialogues. Enter MIDAS, a groundbreaking approach utilizing multi-level knowledge distillation. This technique employs specialized 'teacher' models, each focusing on a specific level of understanding: intent detection, slot filling, and domain classification. These teachers are fine-tuned to become experts in their areas and then impart their knowledge to a 'student' model. This multi-pronged learning approach strengthens the student's grasp of the intricate relationships within conversations, enabling it to outperform existing single-task models and even rivaling LLMs. The results are impressive: MIDAS achieves significantly higher accuracy in both intent detection and slot filling compared to other state-of-the-art methods. This innovation has the potential to revolutionize how we interact with machines. By enabling more nuanced and context-aware dialogue, MIDAS paves the way for smarter chatbots, enhanced virtual assistants, and more human-like conversational AI. The future of communication is here, and it's powered by multi-level intelligence.