Efficient Large Language Model (LLM) Customization (ELLMC)

 

Resumen del Curso

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 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 NVIDIA NeMo™ service, you’ll learn various parameter-efficient fine-tuning methods to customize LLM behavior for your organization.

Certificaciones

Prerrequisitos

  • 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.

Objetivos del curso

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.

Precios & Delivery methods

Entrenamiento en línea

Duración
1 día

Precio
  • Consulta precio y disponibilidad
Classroom training

Duración
1 día

Precio
  • Consulta precio y disponibilidad

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Instructor-led Online Training:   Este es un curso en línea Guiado por un Instructor. If you have any questions about our online courses, feel free to contact us via phone or Email anytime.

Estados Unidos de América

Entrenamiento en línea 07:30 Pacific Daylight Time (PDT) Este curso será presentado por un socio Inscripción