👉 Domains engineering is an advanced field within artificial intelligence that focuses on designing and optimizing AI systems to excel in specific, well-defined problem domains. Unlike general-purpose AI, which aims to perform a wide range of tasks, domains engineering involves creating specialized models that leverage domain-specific knowledge, data, and techniques to achieve superior performance. This approach includes tasks such as fine-tuning pre-trained models on domain-specific datasets, integrating domain expertise into the model architecture, and developing evaluation metrics tailored to the unique characteristics of each domain. By tailoring AI solutions to specific applications—such as healthcare, finance, or autonomous driving—domains engineering enhances efficiency, accuracy, and relevance, making AI more practical and impactful in real-world scenarios.
