Shifting to AI model customization is an architectural imperative

Customization of AI models with proprietary data and internal logic is becoming crucial for competitive advantage, as general-purpose large language models are reaching the limits of their capability improvements. This approach allows organizations to encode their unique expertise into AI systems, enhancing decision-making processes and operational efficiency across various sectors. Companies should focus on continuous adaptation to maintain model relevance and effectiveness.

Read the full article at MIT Tech Review

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