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Small Models, Big Impact: Giving Smart Devices an AI Brain & Building Reliable AI Agents w/ Shelby Heinecke, PhD
Season 1 Episode 28
What if your phone, watch, or laptop had its own AI brain — smart enough to help you anywhere, even offline? In this episode, we sit down with Shelby Heinecke, Senior AI Research Manager at Salesforce and PhD in Mathematics, to explore the future of AI agents, on-device AI, and why small models could make a big difference.
We cover:
- What AI agents really are (in plain English) and how they work
- How small language models can make AI faster, cheaper, and more private
- Why your devices might soon run AI entirely on-board — no cloud required
- The role of clean data in making agents more reliable and accurate
- Behind-the-scenes of Shelby’s research at Salesforce, including the X-LAM large action model
- How AI agents could change everything from personal productivity to global access
Shelby also shares career insights for aspiring AI researchers, her take on the timeline to AGI, and why 2025 might be the “Year of the AI Agent.”
Whether you’re an AI enthusiast, a builder, or just curious how the tech in your pocket is evolving, this episode is packed with insights (and a few laughs) you won’t want to miss.
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Published on 1 month ago