2026.06.07
The Quest for Efficiency: Understanding Model Compression and Quantization
Learn the fundamentals of model compression and Quantization-Aware Training (QAT) to optimize large language models like Gemma 4 for efficient …
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2026.05.06
Introduction to Edge AI Agents and Environment Setup
Understand the landscape of on-device AI agents and tiny LLM systems, set up your development environment, and explore core tooling for edge AI.
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Quantization-Aware Training (QAT): Preserving Accuracy at the Edge
Dive into Quantization-Aware Training (QAT) for Gemma 4 models. Learn its principles, how it optimizes AI for mobile and laptop devices, and practical …
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Optimizing Performance and Resource Management on Edge Hardware
Master techniques for optimizing AI agent and tiny LLM performance and resource usage on constrained edge devices for real-world production …
ACCESS_FILE >>2025.10.26
TensorFlow Guide: Advanced Topics - Distribution Strategies and TensorFlow Lite
Learn advanced TensorFlow techniques for scaling training and deploying models efficiently.
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