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Catalog / Python / Showing 9 of 690
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Introductory
4.9
Exam 7 - NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)
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.
Introductory
4.9
Exam 8 - NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)
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.
Introductory
4.9
Exam 9 - NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)
Develop retrieval-augmented generation (RAG) systems, chatbots, and summarizers using Python, leveraging its powerful libraries and frameworks for efficient implementation.
Introductory
4.9
Introductory
4.9
Introductory
4.9
Introductory
4.9
Expert
4.9
Neural Network Crypto Stock Prediction with Python
Neural Network Crypto Stock Prediction with Python
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