Exam 6 - NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)
Leverage LLM models to enhance explainability while ensuring data quality and consistency in an LLM setting.
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Leverage LLM models to enhance explainability while ensuring data quality and consistency in an LLM setting.
Develop LLM use cases such as retrieval-augmented generation (RAG), chatbots, and summarizers, while focusing on the deployment and evaluation of model scalability, performance, and reliability. Additionally, explore the capabilities of Python natural language packages like spaCy, NumPy, and vector databases.
Utilize Python packages to implement traditional machine learning analyses, identify system data, hardware, or software components to meet user needs, and monitor the functioning of data collection, experiments, and other software processes.
Develop retrieval-augmented generation (RAG) systems, chatbots, and summarizers using Python, leveraging its powerful libraries and frameworks for efficient implementation.
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