NVIDIA: Large Language Models and Generative AI Deployment

Resumen

Explore the intricacies of Large Language Models and Generative AI deployment with NVIDIA's comprehensive course, part of the Exam Prep for the NVIDIA-Certified Generative AI LLMs - Associate Specialization. This course blends theoretical insights with practical skills, covering all vital elements of Generative AI.

Delve into essential topics including the foundational concepts of LLMs, model training, optimization, and evaluation methods, encompassing Few-shot, Zero-shot, and Instruction Tuning strategies.

Master techniques such as loss functions, alignment, and evaluation metrics like Perplexity, alongside essential practices like prompt tuning and Parameter Efficient Fine Tuning (PEFT).

Harness the power of GPUs and acquire the know-how to deploy and monitor LLMs effectively using ONNX. With three modules packed with lessons and video lectures, engage with 4:

30-5:

00 hours of rich content that perfectly balances theoretical knowledge with hands-on experience.

Reinforce your learning through quizzes at the end of each module.

• Module 1:

  Fundamentals of Large Language Models

• Module 2:

  Training, Optimization, and Evaluation of LLMs

• Module 3:

  LLM Deployment Strategies and Monitoring

By the conclusion of this course, you will:

• Grasp the foundational principles of LLMs, NLP, and training data.
• Navigate model optimization methods including loss functions, alignment, and PEFT.
• Implement effective LLM deployment strategies and use ONNX for performance monitoring.

This course is perfect for professionals aiming to enhance their skill set in deploying and refining LLMs for Generative AI tasks.

Materias