Tutorials

Hands-On Guides.

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

Advanced2 to 3 hours

RLVR in Practice: Build a Verifiable-Reward Loop with GRPO

Hands-on RLVR tutorial: build a verifiable-reward loop with GRPO in TRL, write a math verifier, and learn the DAPO and GSPO fixes that keep it stable.

Prerequisites

Familiarity with PyTorchthe Hugging Face stack (transformerspeftdatasets)a single 24GB+ GPUand a working mental model of supervised fine-tuning. No prior RL experience required.

Advanced4-6 hours

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.

Prerequisites

CUDA basicsPyTorchUnderstanding of GANs