In recent years, there have been significant advancements in Artificial Intelligence (AI), particularly in Natural Language Processing (NLP). These advancements have introduced a groundbreaking approach to effectively manage the escalating complexity of network environments, simplifying network operations by allowing operators to use declarative interfaces instead of imperative ones. This paradigm shift, known as "Intent-Driven Networking," facilitates the conversion of human language into network configurations through the use of NLP techniques, eliminating the necessity for manual coding or execution. Furthermore, the advent of state-of-the-art tools such as GPT, LLama, and PaLM, which possess remarkable capabilities in understanding and generating complex natural language, opens up exciting possibilities for Intent-Driven Networking.