Frequently Asked Questions
How does Generative AI create new content?
What distinguishes Generative AI from other AI technologies?
Can Generative AI adapt to our brand’s unique voice and style?
How do you ensure the originality and copyright compliance of AI-generated content?
What safeguards are in place to prevent inappropriate or biased content generation?
Our Generative AI solutions incorporate filters and monitoring to detect and prevent the generation of inappropriate or biased content. Furthermore, we continually update our models with diverse and inclusive data to mitigate bias.
Can Generative AI support custom content needs for niche applications?
Certainly, Generative AI systems can be customized and trained on specific datasets relevant to niche applications, allowing them to produce tailored content that aligns with specialized requirements.
How do we measure the effectiveness of Generative AI in our content strategy?
Effectiveness can be measured through metrics such as engagement rates, conversion rates, time saved in content creation, and feedback on content quality and relevance from your target audience.
What’s the process for training Generative AI on our company’s data?
The process involves collecting a diverse set of your company’s data, anonymizing and formatting it as needed, and then using it to train the Generative AI model, ensuring it aligns closely with your company’s voice and content needs.
Are there limitations to what Generative AI can create?
While Generative AI is incredibly powerful, its output is influenced by the quality and diversity of the data it’s trained on. Creativity may be limited in highly specialized fields where nuanced understanding or deep domain expertise is required.
How does Roborian ensure the ethical use of Generative AI?
Roborian adheres to strict ethical guidelines in deploying Generative AI, ensuring transparency, respecting copyright and intellectual property laws, and prioritizing inclusivity and fairness in all AI-generated content.