Choosing between pre-trained or custom-trained AI models makes a big difference in implementation time and budgets. Let’s compare the pros and cons together.
Pre-trained models are mostly trained by the world’s largest organisations to solve generic problems in the AI space. On the other hand, custom-trained models take your own in-house data to create AI models that cater to your specific problem.
Pre-trained models allow you to get started with AI almost immediately. There are several pre-trained models available on the market, some even having the option to fine-tune them to your needs.
If you have well maintained, structured data available, you can leverage the power of custom-trained AI models. These solve specific, context-dependent problems for your organisation.
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