In this webinar, 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.
11.september: 12:30-13:30
This course includes lecture materials, visual presentation, and audience participation.
• Level: Fundamental
• Duration: 60 minutes
• 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
• Prompt engineers
• Data scientists
• Developers
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
Conclusion
AWS Discovery Days, hosted by official AWS Training Partners, introduce cloud concepts, including generative AI, security, machine learning, migrations, and modern data strategy. Expert AWS Instructors will help you learn what’s possible in the cloud and how to achieve it with AWS.
