Summary In today's episode, I walk through why gender bias exists in generative AI, how to test for it across major language models, and what companies can do to mitigate it before deployment. Here's what this means for you. You gain a clear-eyed view of the risks of running AI tools unsupervised and practical steps…
Summary In today's episode, I explain why training AI on AI-generated content actually improves output quality instead of degrading it. Here's what this means for you. You discover that language models produce statistically average responses, which means well-prompted AI output acts as above-average training material that lifts overall quality beyond what messy human internet content…
Summary In today's episode, I break down how to influence large language models so they surface your brand more favorably when people ask AI tools for recommendations. Here's what this means for you. You'll discover a counterintuitive PR and SEO strategy that builds statistical associations between your brand and your topics across the public web.…
Almost Timely News: A Deep Dive into Fine Tuning Models (2023-08-27) :: View in Browser 👉 📕 Get my new book, The Woefully Incomplete Book of Generative AI, absolutely free of financial cost 📕 👉 Watch the newest version of my talk, the Marketing Singularity, recorded live at MAICON 2023! 📺 Content Authenticity Statement 100%…
Summary In today's episode, I walk through the Q3 2023 Generative AI Bake Off where we test five large language models against 12 tasks across six categories to see which performs best. Here's what this means for you. You'll gain a practical framework for evaluating AI tools before investing your money and time into a…
Summary In today's episode, I walk through an audio production bake-off comparing microphones, soundboards, editing software, and accessibility workflows that marketers can use to get professional-quality sound. Here's what this means for you. You learn practical ways to rescue bad recordings, choose gear at any budget, and make content listenable across earbuds, cars, and mono…
Summary In today's episode, I unpack the Zoom AI terms of service fiasco and what it signals about the data race happening across the tech industry. Here's what this means for you. You'll grasp why your data is now a strategic asset and how companies should be asking for permission rather than assuming consent. You'll…
Summary In today's episode, I explore whether small businesses can realistically fine-tune a large language model on their own data and when doing so actually makes sense. Here's what this means for you. You get a practical decision framework that keeps you from sinking weeks into tuning when off-the-shelf models would handle the job just…
Summary In today's episode, I unpack whether using AI counts as cheating by examining real cases from education and e-commerce. Here's what this means for you. You get a practical framework for judging when AI use crosses from productivity boost into misrepresentation. You'll also learn these concepts: how the purpose of education must shift from…
Summary In today's episode, I walk through the prerequisites for fine-tuning large language models before you start the actual training process. Here's what this means for you. You'll understand the strategic groundwork needed to avoid costly mistakes when customizing models like Llama 2 for specific business use cases. You'll also learn these concepts: the trade-offs…
