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+--- Thread: Whizlabs NVIDIA Prompt Engineering And Data Analysis 2025 (/Thread-Whizlabs-NVIDIA-Prompt-Engineering-And-Data-Analysis-2025)
Whizlabs NVIDIA Prompt Engineering And Data Analysis 2025 - AD-TEAM - 03-08-2025
![[Image: 541637676_oip.jpg]](https://img100.pixhost.to/images/791/541637676_oip.jpg)
380.05 MB | 00:08:14 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
03-prompt engineering.mp4 (23.48 MB)
04-fundamentals of prompt design.mp4 (18.71 MB)
05-techniques for effective prompts.mp4 (19.85 MB)
06-prompt efficient finetuning technique.mp4 (26 MB)
07-prompt learning p tuning.mp4 (19.81 MB)
08-introduction to nvidia nemo.mp4 (24.08 MB)
09-prompt engineering demo with an llm.mp4 (22.17 MB)
10-understanding rag architecture of llm.mp4 (28.92 MB)
02-techniques of text data analysis.mp4 (33.27 MB)
03-text data visualization demo.mp4 (49.6 MB)
04-types of plot and its importance.mp4 (37.28 MB)
05-data visualization for structured data demo.mp4 (40.03 MB)
06-accelerated data analysis workflow with cudf and dask cudf.mp4 (31.57 MB)
07-exam tips data visiualization techniques for text data.mp4 (4.62 MB)]
Screenshot
![[Image: jwoiEqkP_o.jpg]](https://images2.imgbox.com/11/23/jwoiEqkP_o.jpg)
![[Image: UWWbHmGz_o.jpg]](https://images2.imgbox.com/fe/59/UWWbHmGz_o.jpg)
03-prompt engineering.mp4 (23.48 MB)
04-fundamentals of prompt design.mp4 (18.71 MB)
05-techniques for effective prompts.mp4 (19.85 MB)
06-prompt efficient finetuning technique.mp4 (26 MB)
07-prompt learning p tuning.mp4 (19.81 MB)
08-introduction to nvidia nemo.mp4 (24.08 MB)
09-prompt engineering demo with an llm.mp4 (22.17 MB)
10-understanding rag architecture of llm.mp4 (28.92 MB)
02-techniques of text data analysis.mp4 (33.27 MB)
03-text data visualization demo.mp4 (49.6 MB)
04-types of plot and its importance.mp4 (37.28 MB)
05-data visualization for structured data demo.mp4 (40.03 MB)
06-accelerated data analysis workflow with cudf and dask cudf.mp4 (31.57 MB)
07-exam tips data visiualization techniques for text data.mp4 (4.62 MB)]
Screenshot