AI Models in Technology: Why They Can't Learn and Adapt

Wednesday, 21 August 2024, 07:59

AI models face limitations as they can't learn from new data like humans do, requiring continuous retraining from scratch. This challenge hinders tech advancement.
Newscientist
AI Models in Technology: Why They Can't Learn and Adapt

Why AI Models Can't Adapt Like Humans

AI technology has transformed industries; however, it still suffers from significant limitations. These limitations pose challenges for tech companies looking for continuous improvement.

The Training Cycle of AI

  • AI algorithms undergo an extensive training phase.
  • Once trained, they can't update with new information.
  • Tech companies must restart the training process for new data.

This obstacle emphasizes the need for innovation in AI models.

Future of AI Development

Revolutionizing AI technology demands new strategies, ensuring companies invest in solutions that allow adaptability.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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