What you'll learn
Learn the basics of Large Language Models and how their probabilistic nature affects their responses.
Appreciate the importance of balanced prompts to eliminate user bias.
Understand the ongoing threat of prompt injection
Learn about the best practices that will assist you in avoiding issues associated with Generative AI
Requirements
There are no advanced preparations or prerequisites.
Description
The primary goal of this training program is to promote the frequent and responsible use of Generative AI tools. It aims to empower individuals to enhance productivity while maintaining ethical standards. The course covers various essential topics:1. Exploring the applications of Text Generative AI, including content generation, translation, and data analysis.2. Understanding the non-technical basics of Large Language Models to grasp their probabilistic nature.3. Recognizing the limitations and potential risks of Generative AI, such as inaccurate responses, vague prompts, bias, and data leakage.4. Addressing the issue of using biased prompts that reinforce confirmation biases when interacting with Generative AI tools.5. Exploring ethical principles and guidelines for responsible AI usage, ensuring generated content is not harmful, misleading, or biased.6. Customized chatbots in business processes and how to deploy them ethically and securely.7. Discussing the emerging threat of prompt injection in enterprise chatbots.8. Presenting a comprehensive set of best practices for responsible use of Generative AI tools, including fact-checking, crafting precise prompts, bias detection, and ethical content generation.The training aims to provide valuable insights and practical guidance for responsible AI usage, enabling individuals to navigate the AI-driven content generation landscape with confidence and ethics. It emphasizes the importance of upholding ethical standards and best practices while leveraging Generative AI tools.
Overview
Section 1: Responsible AI Course
Lecture 1 Course Outline
Lecture 2 Better Performance With Generative AI
Lecture 3 Generative AI Use Cases
Lecture 4 What are the Large Language Models
Lecture 5 Generative AI Limitations and Risks
Lecture 6 Confirmation bias and balanced prompts
Lecture 7 Data leakage
Lecture 8 Ethical considerations
Lecture 9 Customized Chatbots
Lecture 10 Prompt injection
Lecture 11 Best Practices For Responsible Use
Lecture 12 Summary
Everyone who uses Generative AI tools for their work or studies, such as ChatGPT, Microsoft Bing & Google Bard



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