Finetuning Large Language Models

via Coursera

Coursera

1276 Courses


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Overview

Discover the power of finetuning Large Language Models (LLMs) with this comprehensive short course offered by Coursera. Dive deep into the world of neural networks and enhance your skills in prompt engineering through our targeted training. By the end of this course, you'll gain proficiency in:

  • Deciphering the appropriate instances for applying finetuning on LLMs.
  • Preparing your datasets for the finetuning process.
  • Training and evaluating a Large Language Model using your unique data.

Finetuning sets the stage for unparalleled customization of LLMs, enabling you to adjust the model’s weights based on your specific data. This course stands out by empowering you to improve your models by learning the nuances of style, form, and injecting fresh knowledge for better results. Enroll today to transform your approach to LLMs through finetuning, a skill demanded across fields utilizing Neural Networks, Large Language Model development, and Prompt Engineering techniques.

Categories: Neural Networks Courses, LLM (Large Language Model) Courses, Prompt Engineering Courses.

Syllabus


Taught by

Sharon Zhou


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provider Coursera

Coursera

1276 Courses


Coursera

pricing Paid Course
language English
duration 1-2 hours
sessions On-Demand
level Intermediate