Prompt Engineering for Automation Developers

By the end of this learning trail, you will be able to:

• Describe the importance of clear and precise prompts in automation development
• Describe how to structure prompts with context, instructions, and examples for generative AI models
• Recall the impact of temperature settings on the creativity and randomness of model outputs
• Define the role of a curious mindset in prompt refinement and iteration
• Understand the components of a well-formed prompt, including context, instruction, examples, and format modifiers
• Describe the significance of format modifiers in ensuring responses align with automation workflows
• Create prompts that efficiently extract and format data for programmatic consumption, such as JSON
• Understand the value of providing context, instruction, and examples for specific use cases, like customer service or medical record management

List of Courses in this learning trail:

1. Introduction to Large Language Models
2. Using Generative AI in Automation Anywhere
3. Understanding the Anatomy of Prompts
4. Optimizing Automations Through Metrics
5. Empowering Excellence-Unleashing Human-in-the-Loop
6. Exploring the Potential of Generative AI in Automations
7. Handling Sensitive Information Through Generative AI and Automation Anywhere