AI Fundamentals L1&L2 - October 11th AM - Britcham

AI Fundamentals L1&L2 - October 11th AM - Britcham

Level 1: Mastering Prompt Engineering with RCFC

Dive into the world of AI with our Level 1 training program focused on Prompt Engineering. This course introduces the RCFC model, a unique framework that translates complex thoughts into actionable AI prompts, setting this course apart from others. Learn the importance of both positive and negative examples to understand why AI hallucinates and how it avoid it.

Through practical exercises, you’ll gain hands-on experience in crafting effective prompts that drive AI performance.

Chapter 1: Fundamental Principles​

• Misconceptions: Avoiding misuse of GenAI products, first step of risks mitigation, ​
• Basic Principles: Proper usage of GenAI tools, setting the foundation for the later more complex modules.​
• Common Scenarios: Learning from actual cases to understand what is considered good use cases​
• Prompt Engineering: It’s more complicated than you thought – could be one of the keys to your project’s success ​ ​

Chapter 2: Level 1 prompt engineering​

• RCFC model: The power of thoughts , translated into RCFC framework, a powerful tool not widely explored in other courses. ​
• Positive Examples, Negative Examples: Understand the reason to failures is the first step to success​
• Practice​

Level 2: Unleashing Potential with Chain of Thoughts

Elevate your AI skills to the next level with our Chain of Thoughts training. This Level 2 program delves into leveraging LLM’s strategic analysis capabilities through the innovative use of chain of thoughts and exmaples. This optimize AI results without the need for extensive datasets. You’ll engage in practical sessions that allow you to apply these concepts directly, enhancing your ability to influence AI behavior and outcomes effectively.

Chapter 3: Level 2 Chain of Thoughts​

• CoT: Leveraging LLM’s Strategic analysis competencies​
• 0/1/n shot prompts (examples): Tuning the model without the need for a large amount of data-set​
• Practice

Chapter 4: Level 5 Business Application (preview)​

• Introduction to Integration Business Case: What can be achieved in the mindset of improving the efficiency of a workflow to the overall operation efficiency instead of improving the speed of a singular task at hand​
• Elements to consider for Corporate Implementations​
• Risks and Potential of GPT for Enterprise Applications: It requires more strategic thinking and risks regulation by starting from equipping your company with the right mindset and the right people.

Don’t miss out on this unique opportunity!