AI Builders Global Conference 2026. October 14-16, 2026. Online.
Small Language Models & Edge AI Deployment
This description belongs to the 2026 topic catalog. The 2027 program is being prepared separately.
Not every use case needs GPT-4. A major 2026 trend is the rising adoption of smaller, highly optimized models that offer better speed, lower latency, and dramatically lower operational costs. This workshop covers deploying specialized, quantized models for edge computing, mobile AI, on-device processing, and cost-efficient inference using ONNX, TensorRT, Core ML, and mobile ML frameworks.
Questions explored in the 2026 topic catalog
- When is a small model the right choice over a frontier model?
- What quantization techniques work best for edge deployment?
- How do you optimize models for mobile and on-device processing?
- What are the trade-offs between model size, quality, and speed?
- Which open-source small models perform best for specialized tasks?
- How do you handle model updates on edge devices?
Who this topic is for
Mobile developers, IoT engineers, embedded systems developers, and anyone building AI that needs to run fast, cheap, or offline.
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