Most of the social conversation around AI is aimed at business owners and programmers, but if you’re an engineer or quality professional, you might be wondering how to actually use these tools to help with your own work processes or information pools. While many people are waiting for their company to provide an AI strategy, there is a way to start building your own private "AI intern" today without being a coder or a programmer.

In this episode, I’m joined by technologist Vincent Deeney to discuss the practical side of running Large Language Models (LLMs) locally on your own hardware. We move past the hype to talk about how "playing" with these models is actually a high-level form of learning that can help you bridge technical gaps and soar in your productivity.

Vincent introduces a mental model for your personal development: the "Senior Engineer vs. Intern" workflow. You’ll learn how to use elite frontier models to help you architect complex concepts, then hand that plan over to a local model to execute the repetitive, data-heavy tasks. 

Whether you want to automate your morning research or just understand the "why" behind AI behavior, this episode is your guide to becoming a more capable, AI-literate professional. We don't just talk about AI - we give you a roadmap to start executing on your own.

Listen in and visit the podcast blog for extra resources: https://deeneyenterprises.com/qdd/podcast/s3e20

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Work with Dianna I help product development teams build quality into the front end when it's cheap and easy, not late when it's expensive and painful.

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Pierce the Design Fog (piercethedesignfog.com): my book on aligning cross-functional teams, defining clear design inputs, and accelerating product success. NIEA Finalist Award, reviewed by PDMA. 

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