Efficient Large Language Model (LLM) Customization Training
Course Authors
Efficient Large Language Model (LLM) Customization Training Hands-on (Online, Onsite, and Classroom Live)
| Commitment | 1 Day, 7-8 hours a day. |
| Language | English |
| User Ratings | Average User Rating 4.8 See what learners said |
| Price | REQUEST |
| Delivery Options | Instructor-Led Onsite, Online, and Classroom Live |
COURSE OVERVIEW
Efficient Large Language Model (LLM) Customization Training: Enterprises need to execute language-related tasks daily, such as text classification, content generation, sentiment analysis, and customer chat support, and they seek to do so in the most cost-effective way. Large language models can automate these tasks, and efficient LLM customization techniques can increase a model’s capabilities and reduce the size of models required for use in enterprise applications. In this course, you’ll go beyond prompt engineering LLMs and learn various techniques to efficiently customize pre-trained LLMs for your specific use cases—without engaging in the computationally intensive and expensive process of pretraining your model or fine-tuning a model’s internal weights. Using NVIDIA NeMo™ service, you’ll learn various parameter-efficient fine-tuning methods to customize LLM behavior for your organization.
Please note that once a booking has been confirmed, it is non-refundable. This means that after you have confirmed your seat for an event, it cannot be cancelled and no refund will be issued, regardless of attendance.
WHAT'S INCLUDED?
- 1 day of Efficient Large Language Model (LLM) Customization Training with an expert instructor
- Efficient Large Language Model (LLM) Customization Electronic Course Guide
- Certificate of Completion
- 100% Satisfaction Guarantee
RESOURCES
- Efficient Large Language Model (LLM) Customization – https://www.wiley.com/
- Efficient Large Language Model (LLM) Customization – https://www.packtpub.com/
- Efficient Large Language Model (LLM) Customization – https://store.logicaloperations.com/
- Efficient Large Language Model (LLM) Customization – https://us.artechhouse.com/
- Efficient Large Language Model (LLM) Customization Training – https://www.amazon.com/
RELATED COURSES
- Getting Started with AI on Jetson Nano Training
- Building LLM Applications with Prompt Engineering Training
- Generative AI with Diffusion Models Training
- Building RAG Agents with LLMs Training
- Efficient Large Language Model (LLM) Customization Training
- Rapid Application Development Using Large Language Models Training
ADDITIONAL INFORMATION
COURSE OBJECTIVES
Upon completion of this Efficient Large Language Model (LLM) Customization Training course, participants can:
- Apply parameter-efficient fine-tuning techniques with limited data to accomplish tasks specific to your use cases
- Use LLMs to create synthetic data in the service of fine-tuning smaller LLMs to perform a desired task
- Drive down model size requirements through a virtuous cycle of combining synthetic data generation and model customization.
- Build a generative application composed of multiple customized models you generate data for and create throughout the workshop.
CUSTOMIZE IT
- We can adapt this Efficient Large Language Model (LLM) Customization course to your group’s background and work requirements at little to no added cost.
- If you are familiar with some aspects of this Efficient Large Language Model (LLM) Customization course, we can omit or shorten their discussion.
- We can adjust the emphasis placed on the various topics or build the Efficient Large Language Model (LLM) Customization course around the mix of technologies of interest to you (including technologies other than those in this outline).
- If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policymaker), and present the Efficient Large Language Model (LLM) Customization course in a manner understandable to lay audiences.
AUDIENCE/TARGET GROUP
The target audience for this Efficient Large Language Model (LLM) Customization course:
- ALL
CLASS PREREQUISITES
The knowledge and skills that a learner must have before attending this Efficient Large Language Model (LLM) Customization Training course are:
- 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.
COURSE SYLLABUS
By the time you complete this course you will be able to:
- Apply parameter-efficient fine-tuning techniques with limited data to accomplish tasks specific to your use cases
- Use LLMs to create synthetic data in the service of fine-tuning smaller LLMs to perform a desired task
- Drive down model size requirements through a virtuous cycle of combining synthetic data generation and model customization.
- Build a generative application composed of multiple customized models you generate data for and create throughout the workshop.
This course is part of the following Certifications:
- NVIDIA-Certified Associate: Generative AI LLMs
- NVIDIA-Certified Associate: Generative AI Multimodal
