在 GTC 大会参加培训并获得认证

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

Learn how to improve LLM application capabilities and reduce the size of required LLMs using parameter-efficient fine-tuning (PEFT).

Learn how to build a variety of LLM-based applications through the use of modern prompt engineering techniques.

Just like how humans have different networks in their brain to process multisensory information, multimodal models have an organized structure to optimize reasoning based on multiple input data types.

Learn how to move RAG systems from proof-of-concept to enterprise-grade deployments, focusing on scalability, auto-scaling, monitoring, and data management. The workshop will also feature NVIDIA NIM microservices for optimizing production-level performance.

Learn how to perform multiple analysis tasks on large datasets using RAPIDS, a collection of data science libraries that allows end-to-end GPU acceleration for data science workflows.