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Build Your Own Prompt Libraries For Your Clients - with Victoria Olsina

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Manage episode 476231237 series 3012563
Content provided by Majestic.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Majestic.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

  continue reading

457 episodes

Artwork
iconShare
 
Manage episode 476231237 series 3012563
Content provided by Majestic.com. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Majestic.com or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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.

  continue reading

457 episodes

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