The first trend identified is continual learning, which addresses the challenge of teaching AI models new information without compromising existing knowledge. This issue, known as "catastrophic forgetting," has traditionally been addressed by retraining models with a combination of old and new data. However, this approach is often expensive, time-consuming, and complex, making it inaccessible to many organizations.
VentureBeat anticipates breakthroughs in continual learning that will enable more efficient and accessible methods for updating AI models. This would allow enterprises to adapt their AI systems more readily to changing data and evolving business needs.
The report emphasizes that the focus is shifting toward engineering the systems around AI models, rather than solely focusing on the raw intelligence of the models themselves. The other three trends were not included in the source material.
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