Loss curve. Attention heatmap. Gradient signal strength. Memory pressure. Token-by-token predictions — all updating in real time, in your browser, while the model trains on your Mac. No TensorBoard.
The MARL-QMIX-Warehouse-Robots project focuses on multi-agent reinforcement learning (MARL) within a cooperative warehouse environment built in Unity. The system trains multiple autonomous robots ...
Brooks, T., 2023: Creating a Large Language Model Application Using Gradio. Software Engineering Institute blog, Accessed June 26, 2026, https://doi.org/10.58012/7mv7 ...
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