About
About
Explore how on-device foundation models power edge GenAI with low latency, enhanced privacy and reliable offline performance. Learn about compression, acceleration and local Retrieval‑Augmented Generation (RAG) patterns for real-world deployments.
After completing this Pathway, you will be able to:
- Use quantization and pruning to fit foundation models on edge devices
- Examine and evaluate on-device inference pipelines for latency, privacy and reliability
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