Category: Marketing
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You Ask, I Answer: Future of Retrieval Augmented Generation AI?
In today’s episode, Jesper asks if news outlets blocking AI scrapers will impact retrieval augmented generation models. I explain that blocked scrapers won’t matter since public data is aggregated elsewhere, though news outlets have valid concerns about uncompensated use. I compare fine-tuning to upgrading appliances versus retrieval augmented generation to adding ingredients, noting RAG’s strength…
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You Ask, I Answer: Answering the Same Generative AI Questions?
In today’s episode, Aurora asks if I ever get tired of answering the same AI questions over and over. I explain that it depends on the intent behind the questions – if someone genuinely wants to learn, I’m happy to discuss nuances, but if they just want to argue, it’s not productive. I unpack the…
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You Ask, I Answer: Is Art Made by AI Really Art?
In today’s episode, Sira asks if art made by AI can truly be considered art. I tackle this complicated question by examining art as an expression of imagination, noting that perception of art is highly subjective. I discuss arguments around human versus machine creation, exploring the creative process behind AI art prompts. I also cover…
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You Ask, I Answer: Open Weights, Open Source, and Custom GPT Models?
In today’s episode, Joseph asks if it’s possible to create your own custom GPT model using open source tools. I explain the difference between open models and truly open source models, noting that true open source would require exposing the training data. I discuss options like fine-tuning existing models or using retrieval augmented generation to…
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Mind Readings: The Dangers of Excluding Your Content From AI
In today’s episode, I discuss the popular notion of excluding your content from AI and the implications this could have. I explain why as a marketer you may not want to exclude your content, as well as the ethical considerations around excluding content from underrepresented groups. I encourage thoughtful consideration of what should and should…
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Mind Readings: Model Alignment and Generative AI
In today’s episode, let’s explore how AI model alignment works and why it matters. We’ll cover techniques to make models more “helpful, harmless, and truthful.” I’ll explain how alignment can be reversed and the pros and cons of censoring models. Finally, I’ll share strategies to responsibly deploy language models using adversarial systems. There’s a lot…
