GENERATIVE AI:
VALIDATING RESULTS

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  • Level: Intermediate
  • Length: 67 Minutes
  • 10 Interactive Lessons
  • Downloadable Resources
  • Live Demonstrations
  • Activities to Implement
  • Completion Certificate
  • Real-World Examples
  • Instructor: Krista Neher

WHY YOU'LL LOVE GENERATIVE AI: VALIDATING RESULTS

Validating AI results is crucial to ensure that you create accurate, high-quality, relevant, and reliable results.

Even the best prompts are prone to issues with results. This course teaches you how to identify common issues with AI and resolve them.

Discover how to validate your AI results, prompt for validation, and build quality control into your prompts and workflows.

COMPLETION CERTIFICATE INCLUDED

COURSE DETAILS

Course Outline

Part 1
Lesson 1: Common AI Risks and Mistakes
  • Common risks and mistakes AI makes
  • How to spot and avoid common AI results issues
Lesson 2: AI Result Evaluation
  • How to evaluate AI responses with a clear framework
  • How to check for accuracy, completeness, objectivity, relevance, and transparency
Lesson 3: How to Spot Hallucinations, Errors, or Bias
  • How to spot common AI issues in responses
  • How to prompt AI to resolve AI issues
Lesson 4: Quick Validation Prompts
  • How to prompt to validate AI results
Lesson 5: Prompting for Accuracy
  • How to adapt your prompts to increase accuracy
  • Prompt strategies that increase accuracy and quality of results
Part 2
Lesson 6: Human Validation
  • Why human validation is necessary when quality outputs matter
  • Different human validation strategies to apply to improve results
Lesson 7: Request Sources, Criteria, Reasoning
  • How to prompt for sources, criteria, and reasoning to validate results
  • How to evaluate and refine the sources, criteria and reasoning used by AI
Lesson 8: Steps in the Validation Process
  • How to validate AI results beyond accuracy
  • A four-step method to validate AI results
Lesson 9: Provide Validation Direction
  • How to analyze results to determine what to validate
  • How to craft specific prompts to validate
Lesson 10: Quality Control Workflow
  • Importance of having quality control in your workflows
  • Different strategies to use to validate outputs

What You'll Learn

  • Identify common AI mistakes and prompts to resolve them.
  • Apply an AI results evaluation framework to ensure quality results.
  • Spot common AI results issues like hallucinations, errors, or bias.
  • Validate your results with prompts.
  • Refine your initial prompts to increase accuracy.
  • Apply human validation techniques to ensure quality and accuracy.
  • Request sources, criteria, and reasoning from AI.
  • Apply the steps in the AI validation process.
  • Provide clear and specific directions to AI in validating results.
  • Build quality control into your workflows to scale AI accurately.
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OUR HAPPY CLIENTS

MEET YOUR INSTRUCTOR
KRISTA NEHER

 Krista Neher is a six-time bestselling author, international speaker, award-winning entrepreneur, global thought-leader, and an expert in social media, digital marketing, and personal branding, with over 20 years of experience.

She is the CEO of Boot Camp Digital and a contributor on Forbes and Newsweek. She wrote the first textbook on social media and created the first accredited digital marketing certification in the world.

Connect with Krista on LinkedIn 

ABOUT BOOT CAMP DIGITAL

Boot Camp Digital is the global leader in digital marketing training and education, with over 20 years experience. We've worked with the biggest companies like GE, P&G, Meta, Google, T-Mobile, NASA, The United Statess Senate, Medtronic, Johnson & Johnson, General Mills, Boeing, Cisco, and countless small and medium businesses.
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WHAT MAKES OUR TRAINING DIFFERENT?
  • Customized for industries and organizations
  • Hands-on with demonstrations
  • Practical with real examples
  • Interactive and immersize (not just videos)
  • Expert instructors with practical experience

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