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Fine-Tuned Vs. Trained AI Models: What’s The Difference?

Author: Content Editor
The article discusses the difference between trained AI models and fine-tuned AI models. Trained AI models are useful for jobs that require adaptability and accuracy, while fine-tuned models are suitable for tasks similar to what the models have already learned. Both types of models are important for high-performance AI projects. However, trained models are expensive to build and lack generalization, while fine-tuning offers a more efficient use of resources and customization. NetMind.AI is presented as an example of a decentralized AI platform that provides customized fine-tuned models. Fine-tuning removes complications and streamlines the customization process. The platform also focuses on privacy and security, ensuring users' data remain confidential.

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