Artificial intelligence (AI) continues to redefine the landscape of natural language processing (NLP), with models such as AgenticSeek and DeepSeek V2 advancing the frontiers of efficiency, scalability, and performance.
This analysis offers a critical examination of these two state-of-the-art language models, dissecting their architectural paradigms, empirical performance, practical applications, and
