How a coordinated multi-agent pipeline turns brand assets into editable ad creatives and platform-aware video — all from one workflow.
A Docker-first MCP server that brings deterministic, self-hosted web search to open-source LLMs — no external APIs.
A deep dive into the TensorFlow Model Optimization Toolkit — quantization and pruning techniques behind smaller, faster models.
Using the TF Lite Model Maker library to fine-tune and export optimized on-device image classification models in a few lines.
Why large deep learning models struggle on edge devices, and the practical TFLite techniques that make on-device inference feasible.