📮 Maildrop 27.08.24: From shallow to deep: why domain understanding is essential for AI
The things to know about AI | Tools for the next generation of enterprises in the AI era
Reading time: 5 minutes
Can AI be reimagined without domain-specific knowledge?
The current paradigm of AI, largely dominated by text-based models, has achieved remarkable feats in natural language processing (NLP) and generation (GenAI).
However, these models often struggle to grasp the intricacies of the real world, failing to perform tasks requiring deep understanding, reasoning, and common sense.
A paradigm shift is necessary to bridge this gap and unlock AI's full potential. We must move beyond the limitations of input-output systems and develop domain-specific world models that can more comprehensively and nuancedly represent and reason about the world.
By understanding the critical role of domain knowledge in AI, we can create more intelligent, adaptable, and human-like systems.
What’s important to know?
↓↓ More below ↓↓