Selecting & Powering an LLM

Do you know how to select an LLM and get the most out of it? They’re no longer the sole domain of developers, so it’s time to roll up your sleeves and discover how to choose the perfect AI assistant.

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1/2 day course
Supporting material
Private
Private
A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Marketers are responsible for owning the brand. This means they need to use the best tools available to be able to position it effectively. GenAI, and especially Large Language Models, offer us powerful new ways to create.

Picking the right LLM to help you get more done requires knowing a bit about how LLMs work, what they’re good for, and how you can use it for your brand. This is fundamental to your success because not only will these tools allow you to get tasks accomplished more quickly, but your competitors will be using them as well.

In this half-day session, we'll look into the current and rapidly changing market of Large Language Models and why you’d choose one over another. We’ll then show you how to evaluate and improve the outputs you get from the models so you can choose the right one for your use case.

Now’s not the time to get left behind or to stick with subpar output. Make sure you keep owning your brand by learning how to use these tools effectively.

This Selecting & Powering an LLM course is available as a private training session that can be delivered via Virtual Classroom, or at a location of your choice in the US.

Course overview

What you'll learn:

By the end of this course, you should be able to:

  • Describe the main differences between common LLMs
  • Select an LLM for your needs
  • Evaluate new LLMs as they emerge
  • Build tools with your selected LLM
  • Improve the outputs from your selected LLM

Prerequisites

In order to get the most out of this session, you'll need the knowledge and skills covered in our GenAI for Marketers: Fundamentals course.

Course agenda

Introduction to LLMs
  • What is a Large Language Model?
  • Recognize the benefits of LLMs
  • Survey LLM creators
  • Survey current LLMs
Exploring LLM performance
  • Problems LLMs can solve
  • Building LLM tools to solve problems
  • Refining LLM tools
  • Prompt engineering examples
Choosing an LLM
  • Model benchmarks
  • Testing models
  • Plan how to keep up to date with LLMs

Next Steps:

Consider taking the following courses to further your GenAI knowledge:

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