ChatGPT Training Overview
In this ChatGPT course, learners develop a thorough understanding of prompt engineering and its role in effectively interacting with Large Language Models (LLMs). They explore advanced techniques for crafting prompts that elicit precise and contextually relevant responses. Through hands-on activities, learners gain practical experience in leveraging ChatGPT for problem-solving. Additionally, the course covers the ethical considerations associated with prompt engineering, ensuring learners understand best practices and responsible AI usage.
Location and Pricing
This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.
In addition, some courses are available as live, instructor-led training from one of our partners.
Objectives
- Gain a comprehensive understanding of prompt engineering and its role in interacting with LLMs
- Develop knowledge of the history, mechanics, applications, and limitations of Large Language Models
- Master advanced prompting techniques to generate highly relevant and contextually accurate responses from LLMs
- Apply prompt engineering skills to real-world scenarios and solve practical challenges
- Understand the ethical implications and best practices associated with prompt engineering and LLM usage
Prerequisites
No prior experience is presumed.
Outline
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Understanding the Prompt
- The Basics
- Pitfalls
- Highlighted Techniques
- Understanding the Limitation
Introduction to Large Language Models
- Historical Context
- How did LLM’s (Large Language Models) Evolve
- Trends in LLM’s
- Today’s Cloud and Offline LLM’s
- How LLM’s Work
- LLM Use Cases
- The Importance of Prompt Engineering
Techniques for Crafting Effective Prompts
- Factors affecting prompt effectiveness
- Ways of structuring prompts
- Prompting with examples
Advanced Prompting Techniques
- Zero-Shot Prompting
- Few-Shot Prompting
- Chain-of-Thought Prompting
- Combining Multiple Techniques
- Self Consistency Prompting
- Generated Knowledge Prompting
- Tree of Thought Prompting
- Automated Prompt Engineering
- Retrieval Augmented Generation
Group Project: Applying Prompt Engineering to Real-world Scenarios
- Real World Scenarios
- Group Project
Ethics and Best Practices in Prompt Engineering
- Security Risks with LLM’s
- Obscuring Data for Privacy and Security
- LLM Best Practices for Enterprise
- Best Practices, Limitations, other Considerations
Conclusion
Training Materials
All ChatGPT training students receive comprehensive courseware.
Software Requirements
All attendees must have a modern web browser and an Internet connection.
What are the differences between ChatGPT 3 and 4? Watch this short ChatGPT video to find out!
What is ChatGPT?
- ChatGPT was created by a San Francisco-based artificial intelligence research and deployment company called OpenAI.
- It is a large language model (LLM), meaning it has been trained on a huge dataset of text and code.
- It can generate text, translate languages, write creative content, and answer questions to inform.
- While it is still under development, it has the potential to revolutionize how we work with computers.
According to recent studies:
- 92% of business leaders seek employees with ChatGPT expertise.
- ChatGPT has over 100 million users worldwide.
- ChatGPT's website receives over 1.8 billion visits per month.
- Users spend an average of 8 minutes and 32 seconds on ChatGPT's website per visit.
- ChatGPT is most commonly used for creative writing, brainstorming, and research.
- ChatGPT is expected to generate $200 million in revenue in 2023.
