Complete Guide to Passing NVIDIA’s NCA-GENL Exam: Generative AI, LLMs, Prompting, and Model Deployment
What you will learn
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Understand foundational concepts in machine learning and neural networks critical to generative AI.
Explain the architecture of transformers and large language models (LLMs), including attention mechanisms and training strategies.
Design and evaluate effective prompts using zero-shot, few-shot, and chain-of-thought techniques.
Compare fine-tuning, instruction tuning, LoRA, and PEFT approaches for adapting pretrained models.
Use key NVIDIA tools such as NeMo, Triton, RAPIDS, and TensorRT for LLM training, optimization, and deployment.
Apply best practices in LLM evaluation, experimentation, and reproducibility to prepare for real-world use and the certification exam.
