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Victoria Olsina shares the importance of building your own prompt libraries for your clients.
During the conversation we focusing on the following steps:
Data Collection: Gather extensive data from the client, including previous content, style guides, and brand guidelines.
Training the Model: Use this data to train a GPT, ensuring it understands the client's voice, preferences, and industry specifics.
Customization: Fine-tune the model to handle specific content types like blog posts, social media updates, and product descriptions.
Integration: Integrate the GPT with tools like content management systems and collaboration platforms for seamless use.
Continuous Improvement: Regularly update the model with new data and feedback to keep it current and effective.
By Majestic.com5
22 ratings
Victoria Olsina shares the importance of building your own prompt libraries for your clients.
During the conversation we focusing on the following steps:
Data Collection: Gather extensive data from the client, including previous content, style guides, and brand guidelines.
Training the Model: Use this data to train a GPT, ensuring it understands the client's voice, preferences, and industry specifics.
Customization: Fine-tune the model to handle specific content types like blog posts, social media updates, and product descriptions.
Integration: Integrate the GPT with tools like content management systems and collaboration platforms for seamless use.
Continuous Improvement: Regularly update the model with new data and feedback to keep it current and effective.

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