What Would Happen If I Got an AI to Interview Me?
Let's find out...
I just asked an AI to INTERVIEW ME and here's what happened!!! 🤯 Everything in this clip is real and the only thing I have edited is the sound quality. (I can't export audio yet from the LLM so I needed to use a lav mic).
I gave the AI model my social media posts, my Linkedin profile and my podcast as a basis for her to ask me questions - so that we could have a conversation about the art & science of business storytelling.
This is only a short playful exercise using the paid version of ChatGPT-4o - but it really shows how much fun anyone can have with AI as your creative collaborator.
Too many folks are still using AI to just do basic tasks, such as writing emails or creating exec summaries of large documents - but the real power is in using it as a critical thinking assistant, or as a curator of content, to help you think about something differently.
Perfect for brainstorming.
Great for interviewing yourself! 🤣
EPISODE LINKS
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For a deeper dive inot the art and science of generative AI, my colleague Amand Ruiz has created a short course to help you know all the core concepts of Generative AI, in just 5 minutes a day.
Topics he covers:
𝗗𝗮𝘆 𝟭: 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
Overview of generative AI and its importance in business.
𝗗𝗮𝘆 𝟮: 𝗧𝘆𝗽𝗲𝘀 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀
Exploring different generative AI models like GANs, VAEs, and transformers.
𝗗𝗮𝘆 𝟯: 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗠𝗟 𝘃𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
Comparing traditional machine learning with generative AI methods.
𝗗𝗮𝘆 𝟰: 𝗪𝗵𝗮𝘁 𝗮𝗿𝗲 𝗚𝗣𝗨𝘀
Understanding the role of GPUs in AI and machine learning tasks.
𝗗𝗮𝘆 𝟱: 𝗪𝗵𝗮𝘁 𝗶𝘁 𝗧𝗮𝗸𝗲𝘀 𝘁𝗼 𝗧𝗿𝗮𝗶𝗻 𝗮 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹
Insights into the resources and processes for training large foundation models.
𝗗𝗮𝘆 𝟲: 𝗛𝗼𝘄 𝘁𝗼 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗠𝗼𝗱𝗲𝗹𝘀
Discussing techniques for customizing foundation models for specific uses.
𝗗𝗮𝘆 𝟳: 𝗧𝗵𝗲 𝗠𝗼𝘀𝘁 𝗣𝗼𝗽𝘂𝗹𝗮𝗿 𝗟𝗟𝗠𝘀 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 -
Overview of the most widely-used large language models and their features.
𝗗𝗮𝘆 𝟴: 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀
Exploring practical applications of generative AI across business sectors.
𝗗𝗮𝘆 𝟵: 𝗧𝗵𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗦𝘁𝗮𝗰𝗸
Understanding the components and architecture of the generative AI tech stack.
𝗗𝗮𝘆 𝟭𝟬: 𝗧𝗵𝗲 𝗘𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝗲 𝗼𝗳 𝗦𝗺𝗮𝗹𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀
Discussing the rise and importance of small language models in AI.
𝗗𝗮𝘆 𝟭𝟭: 𝗧𝗵𝗲 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗦𝗸𝗶𝗹𝗹𝘀
Exploring the role, responsibilities, and required skills of AI engineers.
𝗗𝗮𝘆 𝟭𝟮: 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗔𝗜
Discussing the ethical challenges in AI development and deployment.
𝗗𝗮𝘆 𝟭𝟯: 𝗖𝗿𝗲𝗮𝘁𝗲 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽
How to develop a strategic AI integration roadmap for businesses.
𝗗𝗮𝘆 𝟭𝟰: 𝗙𝘂𝘁𝘂𝗿𝗲 𝗧𝗿𝗲𝗻𝗱𝘀 𝗶𝗻 𝗔𝗜
Exploring future developments and trends in AI.
𝗗𝗮𝘆 𝟭𝟱: 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗔𝗜 𝗝𝗼𝘂𝗿𝗻𝗲𝘆
Providing resources and advice for continued AI learning and exploration.
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