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Showing ideas from: AI Applied: Covering AI News, Interviews and Tools - ChatGPT, Midjourney, Gemini, OpenAI, Anthropic (Jaeden Schafer and Conor Grennan)
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AI Model Customization Service
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The podcast discusses a shift towards customizable AI models, where users can choose the tone and style of interaction they prefer. This presents a unique business opportunity to create a platform that allows users to tailor AI models based on their specific needs, whether for business, education, or personal use. By offering this customization, the platform could cater to various industries that require different tones, such as a friendly customer service representative or a more analytical assistant. The implementation could involve developing an easy-to-use interface where users can select or modify existing AI models based on desired characteristics. Target audiences could include businesses wanting to enhance customer interactions or educators looking for personalized learning experiences. Tools and technologies such as existing AI frameworks could be leveraged to build the service, potentially reducing development time and cost.
Feedback-Driven AI Improvement Tool
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The conversation highlights the importance of user feedback in refining AI models. This signals an opportunity to build a feedback-driven tool that allows users to provide real-time feedback on AI interactions. This tool could serve as a bridge between users and AI developers, offering insights into user preferences and areas for improvement. The tool could be implemented as a web-based application where users can input their experiences and suggestions after each interaction with AI. It could benefit developers by providing data to adjust AI responses and improve user satisfaction. The target audience for this service could include AI developers and companies looking to enhance their products based on real user feedback. By leveraging analytics and user responses, this tool could facilitate more responsive development cycles, ultimately leading to better AI performance.
AI Training for Custom Instructions
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The episode touches on the desire for users to give custom instructions to AI models, presenting the idea of a training platform that educates users on how to craft effective prompts and instructions for AI. This platform could include tutorials, best practices, and examples tailored to different AI models, enabling users to get the most out of their interactions. By teaching users how to communicate with AI effectively, the platform could enhance user satisfaction and the overall utility of AI tools. The implementation could involve creating an online course or resource hub, potentially incorporating interactive elements such as quizzes or community forums for users to share experiences. The target audience would include individual users and businesses that employ AI tools but may struggle with maximizing their potential. The platform could generate revenue through subscription fees or course purchases.
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