Efficient Large Language Model (LLM) Customization

Price
$500.00 USD

Duration
1 Day

 

Delivery Methods
Virtual Instructor Led
Private Group

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Course Overview

In this course, you'll go beyond using out-of-the-box pretrained LLMs and learn a variety of techniques to efficiently customize pretrained LLMs for your specific use cases—without engaging in the computationally intensive and expensive process of pretraining your own model or fine-tuning a model's internal weights. Using the open-source NVIDIA NeMo™ framework, you’ll learn prompt engineering and various parameter-efficient fine-tuning methods to customize LLM behavior for your organization.

Course Objectives

  • Use prompt engineering to improve the performance of pretrained LLMs
  • Apply various fine-tuning techniques with limited data to accomplish tasks specific to your use cases
  • Use a single pretrained model to perform multiple custom tasks
  • Leverage the NeMo framework to customize models like GPT, LLaMA-2, and Falcon with ease

Who Should Attend?

Highly-experienced Python Developers
  • Top-rated instructors: Our crew of subject matter experts have an average instructor rating of 4.8 out of 5 across thousands of reviews.
  • Authorized content: We maintain more than 35 Authorized Training Partnerships with the top players in tech, ensuring your course materials contain the most relevant and up-to date information.
  • Interactive classroom participation: Our virtual training includes live lectures, demonstrations and virtual labs that allow you to participate in discussions with your instructor and fellow classmates to get real-time feedback.
  • Post Class Resources: Review your class content, catch up on any material you may have missed or perfect your new skills with access to resources after your course is complete.
  • Private Group Training: Let our world-class instructors deliver exclusive training courses just for your employees. Our private group training is designed to promote your team’s shared growth and skill development.
  • Tailored Training Solutions: Our subject matter experts can customize the class to specifically address the unique goals of your team.

Course Prerequisites

  • Professional experience with the Python programming language
  • Familiarity with fundamental deep learning topics like model architecture, training, and inference
  • Familiarity with a modern Python-based deep learning framework (PyTorch preferred)
  • Familiarity working with out-of-the-box pretrained LLMs

Agenda

  • Introduction
  • Engineering Effective Prompts
  • Customized Prompt Learning
  • Parameter-Efficient Fine-Tuning (PEFT) and Supervised Fine-Tuning (SFT)
  • Assessment and Q&A
 

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We can enroll multiple students in an upcoming class or schedule a dedicated private training event designed to meet your organization’s needs.

 



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