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Generative AI: Working with Large Language Models

This is the repository for the LinkedIn Learning course Generative AI: Working with Large Language Models. The full course is available from LinkedIn Learning.

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Course Description

Transformers have quickly become the go-to architecture for natural language processing (NLP). As a result, knowing how to use them is now a business-critical skill in your AI toolbox. In this course, instructor Jonathan Fernandes walks you through many of the key large language models (LLMs) developed since OpenAI first released GPT-3, as well as the key contributions of each of these LLMs.

Learning objectives

  • Identify the release dates of large language models.
  • Interpret actions needed to successfully run large language models.
  • Differentiate several types of large language models.
  • Assess the capabilities of several large language models.
  • Discover key contributions of large language models.
  • Determine the role that scaling laws have in each large language model.

Instructor

Jonathan Fernandes

Expert in Generative AI and Large Language Models

Check out my other courses on LinkedIn Learning.

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This repo is for the Linkedin Learning course: Generative AI: Working with Large Language Models

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  • Dockerfile 54.7%
  • Python 42.3%
  • Shell 3.0%