Tutorials

Hands-On Guides.

Step-by-step technical tutorials with code examples, from neural network fundamentals to production-grade LLM fine-tuning.

advanced

Optimizing CUDA Kernels for Generative Adversarial Networks

Learn to optimize CUDA kernels for GAN training: memory coalescing, occupancy tuning, mixed-precision training, custom fused kernels, Triton compiler, and profiling with Nsight. Practical code included.

Intermediate

Fine-Tuning Transformer Models with Low-Rank Adaptation (LoRA)

Learn LoRA fine-tuning step by step: the math behind low-rank adaptation, QLoRA quantization, Unsloth training, hyperparameter selection, and practical code for consumer GPUs.