Whizlabs NVIDIA LLM Experimentation Deployment And Ethical AI 2025

Files Included :
03-principles for designing experiments with large language models llms.mp4 (39.02 MB)
04-hyperparameter tuning of llms.mp4 (17.53 MB)
05-a b testing.mp4 (19.58 MB)
06-importance of version control systems.mp4 (16.79 MB)
07-understanding nvidia bionemo llm service.mp4 (16.41 MB)
08-what are nvidia ai agents.mp4 (12.12 MB)
09-using the mixture of experts in llm architectures.mp4 (27.58 MB)
02-introducing nvidia tensor rt.mp4 (18.04 MB)
03-understanding nvidia triton.mp4 (19.63 MB)
04-nvidia ai workflows.mp4 (19.47 MB)
05-logistic and route optimization cuopt.mp4 (17.67 MB)
06-nvidia riva.mp4 (19.65 MB)
07-recommender system merlin.mp4 (17.8 MB)
08-understanding nvidia ngc.mp4 (24.22 MB)
09-exam tips experimentation.mp4 (5.11 MB)
02-ethical principles of trustworthy ai.mp4 (61.52 MB)
03-data privacy and the importance of data consent.mp4 (23.35 MB)
04-nvidia in improving ai trust worthiness.mp4 (19.29 MB)
05-nvidia tackling bias in ai systems processing.mp4 (20.08 MB)
06-registration process system setup.mp4 (20.34 MB)
07-mistakes to avoid before taking the examination.mp4 (19.35 MB)
08-conclusion.mp4 (13.83 MB)]
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