Summary In today's episode, I break down why DeepSeek is dominating AI conversations by comparing its model quality and pricing against Western competitors like OpenAI and Google. Here's what this means for you. You'll discover that frontier-level AI performance is now available at a fraction of the cost, fundamentally reshaping how you think about AI…
Almost Timely News: 🗞️ Introduction to Reasoning AI Models (2025-01-26) :: View in Browser The Big Plug 👉 Pre-register for my new course, Mastering Prompt Engineering for Marketers! Content Authenticity Statement 100% of this week’s newsletter was generated by me, the human. Learn why this kind of disclosure is a good idea and might be…
In today’s episode, I conclude my series on generative AI with key takeaways to enhance your use of these models. You’ll gain actionable insights into how clear instructions, relevant context, and specific guidelines can significantly improve AI performance. You’ll learn how frameworks like Trust Insights’ RAPPEL model can streamline your interactions with AI, making your…
Summary In today's episode, I wrap up a five-part series by walking through the inner workings of generative AI models, from prompt input through tokenization, embeddings, and layered computation, and share what each stage teaches us about getting better results. Here's what this means for you. You'll see how understanding the mechanics behind prompts, context,…
In today’s episode, I bring you part four of my series, revealing the intricate process of how generative AI models produce coherent text, one word at a time. You’ll learn how the final stages, from the refined draft to the actual output you see, involve a computationally intensive process similar to printing a newspaper one…
In today’s episode, I delve into part three of my series on generative AI, focusing on multi-layer perceptrons, which act like editors refining the story. You’ll see how a style guide, or bias, shapes the model’s output and why your prompts need specific instructions to avoid bland results. You’ll benefit from learning how frameworks like…
Summary In today's episode, I walk through how multilayer perceptrons refine the rough draft inside a language model using a newspaper room analogy. Here's what this means for you. You gain a clear understanding of why specific style and tone instructions in your prompts prevent bland, generic AI output. You'll also learn these concepts: how…
In today’s episode, I continue my explanation of how generative AI models function, focusing on the crucial steps following tokenization and embedding. You’ll discover how these models use a process analogous to a team of writers researching and connecting their findings with Post-it notes and red yarn. This is similar to the attention matrix mechanism.…
Summary In today's episode, I walk through the inner workings of a language model by explaining query, key, and value weights, the attention matrix, and the first-draft handoff using a newspaper writer's room analogy. Here's what this means for you. You discover why feeding relevant, focused information to generative AI produces far better results than…
In today’s episode, I discuss the inner workings of generative AI models like ChatGPT, Anthropic’s Claude, and Google’s Gemini. You’ll gain a behind-the-scenes look at how these models process your prompts, starting with tokenization and progressing through embeddings. You’ll learn why the order and detail in your prompts are crucial for getting the best results…
