I've always found great satisfaction in leading training sessions for my team. It's a chance to share knowledge, inspire innovation, and foster growth. However, the challenge has always been finding the right balance between using pre-made materials, which often lack a personal touch, and creating everything from scratch—who's got time for that?
Balancing Leadership and Training
Job Title: CEO and AI Enthusiast
Challenge: As a CEO, I face the challenge of providing comprehensive, engaging, and relevant training to my team without sacrificing my other critical responsibilities. Traditional training methods either feel too generic or are incredibly time-intensive, making it difficult to maintain the personal touch and relevance necessary for effective learning.
Solutions: By tapping into AI tools like ChatGPT, I’ve found an efficient way to create personalized and impactful training materials. It's been a real time-saver, making sure our content is always relevant and engaging.
Prompt Framework
Recently, I created an Introduction to AI course. I didn’t want it to be too theoretical, too technical, or too irrelevant, so I incorporated a learning theory I’m enamored with called Linked Learning.
My real goal was to provide everyone with a strong foundation for writing prompts.
I focused on a few core concepts:
1. What is a large language model
2. How do they work
3. The importance of data
4. How these models learn
For each concept, I explained how it relates to prompts. I used my AI assistant to help build these connections, create bullet points for the slides, provide talking points for the speaker, and suggest graphs and charts to include in the slides.
Here’s the master blueprint:
1. What is a Large Language Model?
Prompt Framework: "Explain what a [specific concept] is in simple terms and provide examples of how [understanding this concept] can [benefit a specific task or process]."
Example: "Explain what a large language model is in simple terms and provide examples of how this understanding can improve the quality of AI-generated prompts."
Expected Outcome from ChatGPT: A clear and concise explanation of large language models, including practical examples of how this knowledge can be used to create more effective AI prompts.
2. How Do They Work?
Prompt Framework: "Describe the [inner workings/mechanisms] of [a specific concept] in an accessible way, and explain how [understanding this mechanism] can help in [achieving a specific outcome]."
Example: "Describe the inner workings of large language models in an accessible way, and explain how understanding this can help in crafting better AI prompts."
Expected Outcome from ChatGPT: A detailed yet easy-to-understand breakdown of how large language models function, with insights on how this understanding can enhance prompt accuracy and relevance.
3. How is Data Important?
Prompt Framework: "Explain the role of [a specific element] in [a specific process] and discuss how the [quality/quantity] of [this element] affects the [effectiveness/outcome] of [a specific task or process]."
Example: "Explain the role of data in training large language models and discuss how the quality and quantity of data affect the effectiveness of AI-generated prompts."
Expected Outcome from ChatGPT: A comprehensive explanation of the significance of data in AI training, including how data quality and quantity impact the results of AI-generated prompts.
4. How Do These Models Learn?
Prompt Framework: "Detail the [learning process/steps] of [a specific concept] and illustrate how [this knowledge] can be applied to [improve/enhance] the [structure/content] of [a specific task or process]."
Example: "Detail the learning process of large language models and illustrate how this knowledge can be applied to improve the structure and content of AI prompts."
Expected Outcome from ChatGPT: A step-by-step guide on the learning mechanisms of AI models, with practical examples of how this understanding can lead to more effective prompt creation.
Human Element
What you see below is my AI Assistant’s draft which I got to in about 15 minutes. But, the Real Intelligence comes from my ability to take this information and transform it into my own voice, my own thinking. I didn’t time myself, but I’d assume I spent about 4 hours getting it the way I wanted and, my marketing gal, Hien, spent another 4-8 hours prepping all the slides.
Without Chat GPT: 40-80 Hours
With Chat GPT: Less than 15 Hours
I like saving like that!
What ChatGPT Delivered
Here’s the raw output from Chat GPT. Sure, it’s got some repetitive stuff and it’s got some basic stuff that’s obvious, but, it’s got more than enough goodness which inspired me to get to the final product.
I can’t publish them but if you’d like a copy of my slides shoot me a whats app message at +84 90 995 8581.
1. What is a Large Language Model?
2. How Do They Work?
3. How is Data Important?
4. How Do These Models Learn?
Transform Your Training with AI
If you're interested in learning more about how AI can transform your training processes or want to see how these tools can benefit your organization, join our upcoming workshop or schedule a consultation with our team. Is your business ready to take the leap? Schedule a Real Intelligence Workshop at your company and jumpstart your team with the essential skills and knowledge to thrive in an AI-powered world.
For more information, contact me on WhatsApp at +84 90 9958581.
Let's explore the potential of AI together.
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