Fix fueling generative content cookbook

[invader89]

The PR updates the topic names and keywords for remote teams in the Fueling Generative Content with Keyword Research guide.

• Updates the topic names for remote teams to be more descriptive and specific, e.g., "Remote Team Management" becomes "Effective Leadership and Management of Remote Teams".
• Refines the keywords associated with each topic to better reflect the updated focus, e.g., adding "scrum remote teams" and "slack best practices for remote teams" under "Effective Leadership and Management of Remote Teams".
• Revises the blog post ideas to align with the updated topics and keywords, providing more actionable and engaging content suggestions, e.g., "Mastering Remote Team Management: Best Practices for Leaders" and "Scrum for Remote Teams: Adapting Agile Practices for Virtual Collaboration".
• Updates the model used for generating content from 'command-r' to 'command-a-03-2025'.
• Adds new sections for text wrapping in Google Colab, installing packages, and loading data, enhancing the notebook's functionality and user experience.
• Introduces error handling for API token issues, improving the robustness of the code.
• Includes additional markdown sections for clustering keywords into topics and generating topic names, providing clearer structure and context to the notebook.
• Updates the execution counts and outputs in several code cells, reflecting the changes in the workflow and data processing steps.
• Revises the topic name mapping and data frame manipulation to incorporate the new topic names and ensure consistency across the dataset.
• Updates the display of the data frame to include the new 'topic_name' column, allowing for better visualization and analysis of the data.
• Modifies the output formatting for better readability, e.g., using markdown styles for topic names and keywords.
• Enhances the code for generating blog post ideas by incorporating the updated topics and keywords, ensuring the content remains relevant and engaging.
• Updates the prompt generation and API call to use the new model, ensuring the generated content aligns with the latest language model capabilities.
• Revises the output display for the generated blog post ideas, providing a clearer and more structured presentation of the content.
• Adds warnings and error messages for deprecated functions, ensuring the code remains up-to-date and compatible with the latest libraries.
• Includes new markdown sections for explaining the clustering process and its importance in topic modeling, enhancing the educational value of the notebook.
• Updates the KMeans clustering and topic assignment steps to reflect the changes in the dataset and ensure accurate topic modeling.
• Revises the display of the final data frame with topics and topic names, providing a comprehensive overview of the processed data.
• Updates the topic printing function to use the new topic names, ensuring consistency in the output.
• Modifies the keyword grouping and top keyword selection to align with the updated topics and keywords, ensuring the content remains focused and relevant.
• Enhances the prompt generation for blog post ideas by incorporating the updated topics, keywords, and model, ensuring the generated content is of high quality and relevance.
• Revises the output display for the generated blog post ideas, providing a clearer and more structured presentation of the content.

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