AWS Advanced CLR LRG
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Discovery Day- Intro to Prompt Engineering

In this course, you will learn how to create and optimize prompts for a variety of generative AI models. First, this course covers the basics of foundation models, including a subset of foundation...

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Free
Course Code AWS-DISC-PROMPT
Duration 1.5 hours
Available Formats Classroom, Virtual

In this course, you will learn how to create and optimize prompts for a variety of generative AI models. First, this course covers the basics of foundation models, including a subset of foundation models (FMs), called large language models (LLMs). Then, the course covers the fundamental concepts of prompt engineering, such as the different elements of a prompt and some general best practices for using prompts effectively. Finally, the course provides information about basic prompt techniques, including zero-shot, few-shot, and chain-of-thought (CoT) prompting.

  • This course includes lecture materials, visual presentation, and audience participation.

Skills Gained

During this event, you will learn:

  • Identify the fundamental concepts of FMs and LLMs
  • Define prompt engineering and identify the best practices for designing effective prompts
  • Identify the basic types of prompt techniques, including zero-shot, few-shot, and CoT techniques

Who Can Benefit

This event is intended for:

  • Prompt engineers
  • Data scientists
  • Developers

Course Details

Module 1: Foundation models and large language models

  • How does a foundation model function?
  • Training FMs
  • Types of FMs
  • Large language models
  • Transformer architecture
  • Neural networks
  • LLM use cases

Module 2: Key concepts of prompt engineering

  • Fine-tuning and prompt engineering
  • Elements of a prompt
  • Best practices for designing effective prompts
  • Practice with prompts

Module 3: Basic prompt techniques

  • Zero-shot prompting
  • Few-shot prompting
  • Chain-of-thought prompting
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