Fine-tuning and iteration

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After initial training, it’s important to fine-tune the model. Expose it to more data specific to your business and real-world customer interactions. This finland mobile database process helps refine ChatGPT’s performance and better adapt it to your business’s needs.

Evaluation and validation
During training and fine-tuning, continually evaluate ChatGPT’s performance. Analyze the responses generated, identify areas for improvement, and validate its effectiveness against previously defined goals.