Specialization in AI is becoming inevitable due to the increasing complexity of models and data. Dharma AI argues that as model sizes grow, it becomes necessary to focus on specific tasks or domains to maintain performance and efficiency. This trend is driven by the need for more precise and accurate results, which can only be achieved through specialization. --- Why it matters: This matters because it forces researchers and developers to rethink their approach to building AI models, requiring a deeper understanding of the trade-offs between generalization and specialization. Source: https://huggingface.co/blog/Dharma-AI/why-specialization-is-inevitable