involves expertise in technology and an understanding of the problem that has to be resolved. The steps required for building a powerful generative AI are:
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Clearly Identify the problem and gather the data they replicate the content that you want to resolve and process the data to train the generative model.
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Select the right architecture according to your data implement it using your selected architecture and customize it.
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Train the generative model with the gathered data assess its performance and also fine-tune it if required.
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Deploy it in the environment and integrate it with the other elements of the solutions. Evaluate the performance and work on the feedback to improve productivity.
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Follow the regulations to safeguard the data and regularly maintain the solution to stay updated in the industry.
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