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Gen AI, and especially Large Language Models, offer us powerful new ways to create. Selecting the right one for your use case is a massive factor in generating excellent content.
Picking the right LLM to help you get more done requires knowing a bit about how LLMs work, what they can and can't do, and how you can use it for your work. This is fundamental to your success - because not only will these powerful new 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 an LLM for Your Use Case course is available as a private training session that can be delivered via Virtual Classroom, or at a location of your choice in South Africa.
Course overview
Who should attend:
This course is ideal for team leaders, SMB owners performing their own marketing, senior marketing professionals, IT staff, business users, and senior business leaders, such as those working in sales.
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
- What is a Large Language Model?
- Recognize the benefits of LLMs
- Survey LLM creators
- Survey current LLMs
- Problems LLMs can solve
- Building LLM tools to solve problems
- Refining LLM tools
- Prompt engineering examples
- Model benchmarks
- Testing models
- Keeping up with LLM changes
Next Steps:
Consider taking the following courses to further your GenAI knowledge: