Category: You Ask I Answer
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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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You Ask, I Answer: Generative AI Impact on Paid Search?
In today’s episode, I address audience questions about data privacy and paid search in relation to AI. We discuss settings that allow opting out of training datasets and examine emerging ad models like Bing. As AI takes up more search real estate, paid listings become crucial for visibility. Join me as we explore the intersection…
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You Ask, I Answer: Which Generative AI Tools to Use?
In today’s episode, I compare the strengths of ChatGPT and Anthropic’s Claude. While Claude generates higher quality text, ChatGPT excels at tasks like data analysis. For real-time answers, search-based models like Bing avoid AI hallucinations. Join me as I demo tools to match your use case – from writing to coding and beyond. Can’t see…
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You Ask, I Answer: Style Transfer in Generative AI Writing?
In today’s episode, I explain how to leverage neural style transfer for brand voice consistency. When training multiple AI personas like “boss” and “conference,” drift can occur. Condense distinctive writing styles into prompts with second-person imperatives. Join me to see how generating a centralized style guide maintains tone across all your AI content. Can’t see…
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You Ask, I Answer: Reducing Generative AI Hallucinations?
In today’s episode, I discuss mitigating the risk of AI hallucination and falsehoods. Pure language models like GPT-4 can make convincing yet untrue claims. Tools like Bing and Google Bard cite sources so you can verify authenticity. Join me to explore best practices for reducing made-up responses from generative AI. Can’t see anything? Watch it…
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You Ask, I Answer: Managing Rectangular Data with Generative AI?
In today’s episode, I tackle how to use AI with structured, tabular data. While generative AI struggles with graphs and images, it can write custom Python code to process databases or spreadsheets. By providing prompts about your goals, these tools create tailored data extraction and analysis scripts. Join me as I demo generating code for…
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You Ask, I Answer: Privacy-Friendly AI Transcription Software?
In today’s episode, I address concerns around AI transcription and data privacy. For confidential meetings, use open-source tools like Whisper that run locally. While convenient, sending audio to cloud services risks exposing sensitive information. Join me as we explore ways to get AI-powered transcripts without compromising privacy or security. Can’t see anything? Watch it on…
