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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.
5
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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