Broad Overview of Current AI Tools - 1/2 day

Objectives:

• Equip employees with a comprehensive understanding of Generative AI (GenAI)
• Provide a historical overview and foundational knowledge of GenAI and its workings
• Introduce various GenAI tools and their strengths and weaknesses
• Offer hands-on experience in creating and refining prompts for GenAI
• Demonstrate practical applications of GenAI in writing, reading, and conversational contexts
• Explore industry-specific use cases, particularly in logistics and finance
• Highlight the potential of GenAI to enhance business processes and drive innovation
• Emphasise the importance of responsible and ethical use of AI technologies
• Enable participants to integrate GenAI into their daily workflows effectively
• Address potential concerns and provide strategies for overcoming challenges in AI implementation

1. Introduction (10 minutes)

• Brief welcome and session objectives. - Theoretical
• Overview of the AI landscape. - Theoretical
• How GenAI Works - Theoretical
• LLMs as partners for thought - Theoretical
• AI is a general purpose tool - Theoretical

2. GenAI as a partner for thought (20 minutes)

• LLMs as partners for thought - Theoretical
• Writing - Theoretical/Practical
• Reading - Theoretical/Practical
• Chatting - Theoretical/Practical
• What LLMs can and cannot do - Theoretical

3. Current AI Tools Overview (20 minutes)

• Applications of Generative AI
• Tools for Text Generation. - Theoretical
• Tools for Image Generation - Theoretical
• Tools for Audio and Video Generation - Theoretical
• Tools for Code Generation - Theoretical
• Strengths and weaknesses of each tool. - Theoretical
• Compare AI tools. - Theoretical
• Interactive Q&A session. - Theoretical

4. Prompt Engineering for Generative AI (1 hour)

• What Is a Prompt? - Theoretical
• What Is Prompt Engineering? - Theoretical
• Best Practices for Prompt Creation - Theoretical/Practical
• Common Prompt Engineering Tools - Theoretical
• Text-to-Text Prompt Techniques - Theoretical/Practical
• Interview Pattern Approach - Theoretical/Practical
• Chain-of-Thought Approach - Theoretical/Practical
• Tree-of-Thought Approach - Theoretical/Practical

5. Generative AI in Business (10 minutes)

• Concerns about AI - Theoretical
• Responsible AI - Theoretical

6. Industry-Specific Applications (2 hours)

• Research and Development - Theoretical/Practical
• Logistics Scenario - Practical
• Finance Scenario - Practical

7. Q&A and Wrap-Up (10-20 minutes)

• Open floor for questions
• Recap of key points
• Next steps and additional resources