NVIDIA-Certified Professional: Generative AI LLMs
NCP-GENL
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Your team is deploying a 70B parameter LLM for production inference with strict latency SLAs (<50ms per token). You have H100 GPUs and need to maximize throughput while maintaining quality. Which TensorRT-LLM optimization strategy provides the best balance?
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Pruebas de Práctica Incluidas en el Paquete (7)
NVIDIA Generative AI LLMs Professional (NCP-GENL) - Practice Exam 1
Practice exam #1 covering Distributed Training & Infrastructure including tensor cores, profiling, and DGX optimization.
NVIDIA Generative AI LLMs Professional (NCP-GENL) - Practice Exam 2
Practice exam #2 emphasizing Model Optimization including quantization, pruning, distillation, and TensorRT-LLM.
NVIDIA Generative AI LLMs Professional (NCP-GENL) - Practice Exam 3
Practice exam #3 focusing on Data Preparation including cleaning, tokenization, and RAPIDS workflows.
NVIDIA Generative AI LLMs Professional (NCP-GENL) - Practice Exam 4
Practice exam #4 covering Prompt Engineering & Advanced Techniques including few-shot, CoT, ReAct, and constrained decoding.
NVIDIA Generative AI LLMs Professional (NCP-GENL) - Practice Exam 5
Practice exam #5 emphasizing Transformer Architecture & Core Concepts including attention mechanisms and sampling strategies.
NVIDIA Generative AI LLMs Professional (NCP-GENL) - Practice Exam 6
Practice exam #6 covering production deployment, safety guardrails, and performance tuning for LLM applications.
NVIDIA Generative AI LLMs Professional (NCP-GENL) - Practice Exam 7
Comprehensive practice exam #7 covering all NCP-GENL domains with scenario-based questions and real-world LLM deployment challenges.
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