Whizlabs NVIDIA Large Language Models And Generative AI Deployment 2025

603.64 MB | 00:07:44 | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English

Files Included :
03-introduction to large language models.mp4 (27.05 MB)
04-usage of llm on nlp tasks huggingface demo.mp4 (72.62 MB)
05-what is generative ai model.mp4 (19.58 MB)
06-components of generative ai.mp4 (26.7 MB)
07-training data for llms.mp4 (21.93 MB)
08-data cleaning for llms.mp4 (20.33 MB)
02-llm training and optimization.mp4 (50.63 MB)
03-techniques of learning methods few shot zero shot instruction tuning rlhf.mp4 (43.45 MB)
04-loss functions of llms.mp4 (36.62 MB)
05-llm alignment techniques.mp4 (25.91 MB)
06-evaluation metrics of llm.mp4 (21.99 MB)
07-perplexity.mp4 (20.59 MB)
08-role of humans in evaluation of llms.mp4 (22.04 MB)
09-role of gpus in model training.mp4 (28.66 MB)
10-llm finetuning prompt tuning peft.mp4 (28.97 MB)
02-llm deployment strategies.mp4 (25.61 MB)
03-onnx unifying the deep learning landscape.mp4 (18.55 MB)
04-convert the deep learning model with onnx demo.mp4 (40.01 MB)
05-monitoring the llm models in production.mp4 (28.05 MB)
06-nvidia eco system in llm deployment.mp4 (23.68 MB)]
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