Summary In today's episode, I explain why maintaining a prompt library for generative AI tools like ChatGPT and MidJourney is a critical practice. Here's what this means for you. Your saved prompts and outputs become future training data that gives you a competitive edge when fine-tuning custom AI models. You'll also learn these concepts: how…
Almost Timely News: When Should You Use Generative AI? (2023-06-25) :: View in Browser 👉 Watch this free YouTube video on how to set up Google Analytics 4 menus to mirror Universal Analytics Content Authenticity Statement 92% of this newsletter was generated by me, the human. AI generated content appears in the first section in…
Summary In today's episode, I explain why the future of AI lies in small, task-specific models rather than giant monolithic ones. Here's what this means for you. You can build focused AI tools that excel at one job instead of mediocre tools that try to do everything. You'll also learn these concepts: why a single…
Summary In today's episode, I walk through a framework for deciding when to use generative AI for writing tasks. Here's what this means for you. You'll be able to match the right AI use case to the kind of writing you're doing, so you stop wasting effort on tasks where machines underperform. You'll also learn…
Summary In today's episode, I explore how companies can balance the growing energy demands of AI and other emerging technologies with their sustainability goals. Here's what this means for you. You'll discover that smarter model design and clever optimization techniques can dramatically cut energy use without sacrificing meaningful performance. You'll also learn these concepts: how…
Summary In today's episode, I walk through the open source AI tools capturing my attention right now and explain why ownership drives my interest in them. Here's what this means for you. You gain practical knowledge about running AI locally on your own hardware, free from the content restrictions and privacy concerns of big tech…
Summary In today's episode, I break down why making large language models safer inherently makes them less creative and useful. Here's what this means for you. You'll grasp why censoring outputs disrupts the statistical relationships between words and degrades overall model quality. You'll also learn these concepts: how LLMs work as prediction engines that score…
Summary In today's episode, I break down where businesses over-rely on AI today and why most of that over-reliance comes down to lazy prompting. Here's what this means for you. Treating AI like a brand-new junior hire who needs a detailed creative brief unlocks dramatically better output than handing it vague instructions. You'll also learn…
Summary In today's episode, I demonstrate how realistic AI voice cloning has gotten by reading a short passage aloud myself and then comparing it to the same text generated through 11 Labs using my own cloned voice. Here's what this means for you. You walk away with a clear sense of how close modern voice…
Summary In today's episode, I explore whether artificial intelligence can truly be moral and why the answer is far more complicated than a simple yes or no. Here's what this means for you. You gain a practical framework for seeing AI as a powerful tool whose outcomes depend on the user and the data behind…
