Do’s And Don’ts Of Generative AI

Description:

The "Mastering Generative AI: Do's and Don'ts" course is a comprehensive and concise short course designed to equip participants with the essential knowledge and practical insights into the dos and don'ts of training generative AI models. This course will delve into the critical factors that contribute to successful training and provide guidelines for avoiding common pitfalls in the field of generative AI. By the end of the course, participants will have a solid understanding of the best practices and ethical considerations associated with generative AI training, enabling them to make informed decisions and achieve optimal results.

Learning Objectives:

After this course, you will be able to:

• Understand the fundamental concepts and applications of generative AI models.
• Recognize and avoid common pitfalls and challenges in generative AI training.
• Address ethical considerations and responsible AI practices in generative AI.
• Mitigate biases and fairness concerns in generative AI models.
• Analyze real-world case studies and examples to understand practical applications and challenges in generative AI.
• Stay informed about emerging trends and future directions in generative AI training.
• Engage in informed discussions and make informed decisions regarding generative AI training.

Duration:
Half Day

Course Code:
BDT286

• None

• This course is designed for AI Enthusiasts with a general interest in artificial intelligence and generative AI, who want to gain a foundational understanding of the dos and don'ts of training generative AI models.

• This course is designed for AI Enthusiasts with a general interest in artificial intelligence and generative AI, who want to gain a foundational understanding of the dos and don'ts of training generative AI models.

Course Outline:

Introduction to Generative AI

• Overview of generative AI and its applications
• Understanding the significance of training in generative AI
• Exploring the impact of generative AI on various industries

The Dos of Generative AI Training

• Effective prompt engineering
• Understanding high-quality training data
• Understanding the model and LLM choices
• Be model agnostic
• Conducting thorough model evaluation and validation

The Don'ts of Generative AI Training

• Recognizing and avoiding common training pitfalls
• Addressing issues related to overfitting and underfitting
• Ethical considerations and responsible AI practices
• Mitigating biases and fairness concerns in generative AI

Case Studies and Real-world Examples

• Analyzing successful applications of generative AI models
• Examining real-world challenges and lessons learned
• Discussion of notable case studies and their implications

Future Trends and Challenges

• Exploring emerging trends in generative AI training
• Anticipating challenges and potential solutions
• Ethical implications and responsible use of generative AI

Q&A and Discussion

• Interactive session for addressing participant queries
• Facilitated discussion on best practices and real-world scenarios
• Sharing additional resources and references

Training material provided: Yes (Digital format)