Prompt engineering drastically increases the capabilities of large language models (LLMs) with little effort. With a robust prompt engineering toolkit at your disposal you can customize LLM behavior to perform a diverse set of tasks and get more out of LLMs regardless of their size.
In this course, you will interact with and prompt engineer LLaMA-2 models to analyze documents, generate text, and be an AI assistant.
Course Prerequisites
Experience with deep learning training using Python
What you will learn
By the time you complete this course you will be able to:
- Iteratively write precise prompts to bring LLM behavior in line with your intentions
- Leverage editing the powerful system message
- Guide LLMs with one-to-many shot prompt engineering
- Incorporate prompt-response history into the LLM context to create chatbot behavior
Additional information
The minimum order quantity for NVIDIA self-paced courses is 10.
When adding a course to the shopping cart, a quantity of 10 is automatically added. It may also take 2-3 working days for your course access to be activated. You will receive an email from us with all the necessary information.
When adding a course to the shopping cart, a quantity of 10 is automatically added. It may also take 2-3 working days for your course access to be activated. You will receive an email from us with all the necessary information.
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