Lunch & Learn: Stop Using LLMs for Everything, A Guide to Private AI Models

Generative AI is powerful, but it shouldn't be your hammer for every nail. This talk explores how to reclaim speed and precision by offloading specific tasks to specialized, local models. We will demonstrate how to combine the raw speed of ModernBERT and Isolation Forests with the reasoning capabilities of local LLMs and the eyes of computer vision. Walk away with a blueprint for building private, "air-gapped" agents that can see, analyze, and report in real-time.

You'll learn:

• The "Specialist" Stack
  How to architect a pipeline that offloads specific tasks to deterministic models—using ModernBERT for instant classification and Isolation Forests for statistical anomaly detection—to reduce hallucinations and improve accuracy.
• Edge Economics
  Strategies for processing high-volume video and log data locally for near-zero cost, only engaging the "expensive" LLM reasoning layer when synthesis is required.
• Live Blueprint
  A practical guide to orchestrating a multi-modal agent that can "see" (Vision), "detect" (ML), and "speak" (SLM) simultaneously on consumer-grade hardware without touching the cloud.

This is part of the All Things AI Lunch and Learn Series.

30 minutes. One topic. Real knowledge from real practitioners.

The All Things AI Lunch & Learn series brings community members together during the workday to share practical AI knowledge, lessons learned, and emerging ideas. No fluff. No hour-long commitments. Just focused learning you can apply immediately.

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