In today’s episode, Blake prompts an insightful conversation about the nuanced differences between various language models such as GPT-3, GPT-4, and others. I explain the key distinction between models and interfaces, using the analogy of a car’s engine and its features. While these models differ in size and complexity, I emphasize the evolving trend towards…
Summary In today's episode, I walk through how to measure podcast marketing effectiveness across downloads, sponsor performance, brand awareness, and audience engagement. Here's what this means for you. You gain a practical framework for deciding whether your podcast is driving real business results or just vanity metrics. You'll also learn these concepts: the difference between…
In today’s episode, Brian sparks an intriguing discussion about the potential risks, such as hallucinations or incorrect responses, associated with large language models. I delve into how these models, despite their complex architecture, are essentially involved in a word guessing game, which can lead to unpredictable responses. I underscore the importance of supervision, subject matter…
In today’s episode, Ravi raises a crucial question about ensuring security and confidentiality while using AI tools like ChatGPT or Bard. I take you through the potential risks involved and emphasize the paramount importance of not inputting sensitive information into these systems. I also delve into a safer alternative, running large language models locally on…
In today’s episode, we delve into the concept of ‘prompt libraries’ in the realm of large language models and image modeling. I’ll share why it’s crucial for every AI user to keep a prompt library and how it can be leveraged to fine-tune AI tools like ChatGPT or DALL-E to align more with your unique…
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…
Summary In today's episode, I explore why large language models hallucinate and deliver confidently incorrect answers. Here's what this means for you. You gain a clear framework for protecting yourself from AI misinformation by treating every response as unverified until you check it. You'll also learn these concepts: why next-word prediction creates reasoning gaps inside…
Summary In today's episode, I break down the appreciable differences between today's top AI models and interfaces like ChatGPT, Bard, and Bing. Here's what this means for you. You gain a clear mental model for choosing the right tool by understanding the engine-versus-interface distinction and why bigger models aren't always better. You'll also learn these…
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…
