Summary In today's episode, I explore why large language models are far more powerful than most people realize, especially when wired together into agent networks that coordinate multiple AI systems. Here's what this means for you. Mastering prompting today can make you dramatically more productive and position you as the in-house expert who leads others…
Summary In today's episode, I break down why most organizations are completely unprepared for generative AI and unpack three hard truths about AI adoption that leaders keep getting wrong. Here's what this means for you. You'll gain a clear-eyed framework for treating AI as an organization-wide transformation rather than a simple technology upgrade. You'll also…
Summary In today's episode, I walk through how to interpret customer satisfaction score data, especially Net Promoter Scores, covering what they are, how to compute them in tools like Google Analytics 4, and what action steps to actually take with the results. Here's what this means for you. You gain a practical framework for collecting,…
In today’s episode, Allison asks about building AI models for accounting and taxes. I explain a hybrid approach works best – a language model plus a frequently updated data source. It’s complex but doable with the right strategy and data. Consulting can help create the blueprint. Tune in for more! Can’t see anything? Watch it…
In today’s episode, Mara asks about the ecological impact of AI models like chatGPT. I explain there are costs, but they can be minimized through distributed, specialized models vs massive centralized ones. There’s more research needed, but we’re heading in a sustainable direction. Tune in to learn more! References: https://www.technologyreview.com/2022/11/14/1063192/were-getting-a-better-idea-of-ais-true-carbon-footprint/ https://arxiv.org/pdf/2302.13971.pdf https://apnews.com/article/chatgpt-gpt4-iowa-ai-water-consumption-microsoft-f551fde98083d17a7e8d904f8be822c4 Can’t see anything?…
In today’s episode, Allison asks about how widely understood generative AI is right now. I explain that while the category isn’t well known, tools like ChatGPT are. I recommend focusing on capabilities over technical details when advocating adoption. There’s still more emergent potential we don’t fully grasp as the models scale up. Tune in to…
Summary In today's episode, I break down two architectural approaches for building large language models that handle tax and accounting data, including the trade-offs of each. Here's what this means for you. You get a clear framework for deciding whether to fine-tune a model or build an interpreter that connects to an up-to-date data source.…
Summary In today's episode, I explore the ecological cost of AI, from carbon emissions and water consumption to the promise of smaller specialized models. Here's what this means for you. You gain a grounded, practical view of AI's true environmental footprint and why running open-source models on your own hardware can dramatically cut that impact.…
Summary In today's episode, I break down why generative AI lacks mainstream mind share and how to better communicate its value to others. Here's what this means for you. You'll discover that focusing on what a tool does for you rather than how it works under the hood is the key to driving adoption. You'll…
