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The problem with prompt engineering, GPT-4o, and AI hysteria
Manage episode 420738640 series 3563098
In this episode of "AI Goes to College," Rob and Craig discuss
- the implications of OpenAI's GPT-4 Omni (GPT-4o)
- AI fatigue and hysteria, and
- why prompt design is better than prompt engineering.
Craig and Rob explore the implications of GPT-4 Omni's enhanced capabilities, including faster processing, larger context windows, improved voice capabilities, and an expanded feature set available to all users for free.
They emphasize the importance of exploring and experimenting with these new technologies, highlighting the transition from prompt engineering to prompt design for a more user-friendly approach. They discuss how prompt design allows for a more iterative and creative process, stressing the need for stakeholders to adapt and incorporate generative AI tools effectively, both in teaching and administrative roles within higher education.
Through their conversation, Rob and Craig address the hype and hysteria surrounding generative AI, encouraging listeners to approach these tools with curiosity and a willingness to adapt. They advocate for a balanced perspective, acknowledging both the benefits and risks associated with integrating AI technologies in educational settings.
Rob suggests creating a prompt library to capture successful prompts and outputs, facilitating efficiency and consistency in utilizing generative AI tools for various tasks. They also emphasize the importance of listening to stakeholders and gathering feedback to inform effective implementation strategies.
Rob and Craig conclude the episode by underscoring the value of continuous exploration, experimentation, and playfulness with new technologies, encouraging listeners to share their experiences and creativity in utilizing generative AI effectively.
To stay updated on the latest trends in generative AI and its impact on higher education, listeners are invited to subscribe to the "AI Goes to College" newsletter and watch informative videos on the AI Goes TO College YouTube channel. The hosts invite feedback and suggestions for future episodes, fostering a dynamic and interactive community interested in leveraging AI technologies for educational innovation.
Overall, this episode provides valuable insights into navigating the evolving landscape of generative AI in higher education, empowering educators and administrators to adopt a proactive and adaptable approach towards leveraging AI tools for enhanced teaching and administrative practices.
---
The AI Goes to College podcast is a companion to the AI Goes to College newsletter (https://aigoestocollege.substack.com/). Both are available at https://www.aigoestocollege.com/.
Do you have comments on this episode or topics that you'd like us to cover? Email Craig at craig@AIGoesToCollege.com. You can also leave a comment at https://www.aigoestocollege.com/.
21集单集
Manage episode 420738640 series 3563098
In this episode of "AI Goes to College," Rob and Craig discuss
- the implications of OpenAI's GPT-4 Omni (GPT-4o)
- AI fatigue and hysteria, and
- why prompt design is better than prompt engineering.
Craig and Rob explore the implications of GPT-4 Omni's enhanced capabilities, including faster processing, larger context windows, improved voice capabilities, and an expanded feature set available to all users for free.
They emphasize the importance of exploring and experimenting with these new technologies, highlighting the transition from prompt engineering to prompt design for a more user-friendly approach. They discuss how prompt design allows for a more iterative and creative process, stressing the need for stakeholders to adapt and incorporate generative AI tools effectively, both in teaching and administrative roles within higher education.
Through their conversation, Rob and Craig address the hype and hysteria surrounding generative AI, encouraging listeners to approach these tools with curiosity and a willingness to adapt. They advocate for a balanced perspective, acknowledging both the benefits and risks associated with integrating AI technologies in educational settings.
Rob suggests creating a prompt library to capture successful prompts and outputs, facilitating efficiency and consistency in utilizing generative AI tools for various tasks. They also emphasize the importance of listening to stakeholders and gathering feedback to inform effective implementation strategies.
Rob and Craig conclude the episode by underscoring the value of continuous exploration, experimentation, and playfulness with new technologies, encouraging listeners to share their experiences and creativity in utilizing generative AI effectively.
To stay updated on the latest trends in generative AI and its impact on higher education, listeners are invited to subscribe to the "AI Goes to College" newsletter and watch informative videos on the AI Goes TO College YouTube channel. The hosts invite feedback and suggestions for future episodes, fostering a dynamic and interactive community interested in leveraging AI technologies for educational innovation.
Overall, this episode provides valuable insights into navigating the evolving landscape of generative AI in higher education, empowering educators and administrators to adopt a proactive and adaptable approach towards leveraging AI tools for enhanced teaching and administrative practices.
---
The AI Goes to College podcast is a companion to the AI Goes to College newsletter (https://aigoestocollege.substack.com/). Both are available at https://www.aigoestocollege.com/.
Do you have comments on this episode or topics that you'd like us to cover? Email Craig at craig@AIGoesToCollege.com. You can also leave a comment at https://www.aigoestocollege.com/.
21集单集
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