Summary In today's episode, I break down the difference between great data, good data, and bad data, and why data quality matters more than tools or talent in AI applications. Here's what this means for you. You will see why feeding AI high-quality data is the single biggest factor in producing reliable, valuable results, no…
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 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…
Almost Timely News: Data Analyst Career Questions (2023-07-09) :: View in Browser 👉 Watch this free YouTube video on how to set up Google Analytics 4 menus to mirror Universal Analytics Content Authenticity Statement 25% of this newsletter was generated by me, the human. That’s right, only 25%. Why? Because a friend and reader sent…
Summary In today's episode, I explore why training AI models only on public domain or copyright-free content is more problematic than it sounds, using a Juneteenth lens to examine historical biases baked into old texts. Here's what this means for you. You gain a sharper framework for deciding which sources belong in training data and…
Summary In today's episode, I explain why so many businesses remain unprepared for Google Analytics 4 and walk through three major consequences of ignoring the migration deadline. Here's what this means for you. You'll gain a clear picture of the ticking clock and avoid losing access to historical data when Universal Analytics sunsets. You'll also…
Summary In today's episode, I walk through how to prepare for universal analytics data migration as Google phases out the platform on July 1, 2023. Here's what this means for you. You gain a clear framework for deciding whether to back up your historical analytics data and which backup method fits your situation and skill…
Summary In today's episode, I explore the debate around where diversity, equity, and inclusion principles belong in AI development – in the training data or in the model itself. Here's what this means for you. Investing in curated, equitable training data upfront saves significant work balancing outputs later and protects you from liability. You'll also…
Summary In today's episode, I break down the four major categories of limitations that affect large language models today. Here's what this means for you. You'll stop blaming the model when the real bottleneck might actually be your own prompting skill or your choice of which model you're using. You'll also learn these concepts: how…
