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Learn to build a complete model optimization pipeline using NVIDIA Model Optimizer with FastNAS pruning and fine-tuning techniques. This beginner-friendly tutorial walks you through training, pruning, and fine-tuning a ResNet model on CIFAR-10 dataset.
Learn how to work with compact language models like Liquid AI's LFM2.5-350M by setting up environments, loading models, performing inference, and understanding reinforcement learning integration.
A new tutorial shows how to run Qwen3.5 reasoning models with Claude-style thinking using GGUF and 4-bit quantization, enabling flexible deployment across different hardware setups.