WA3403
ChatGPT Basics Training
This ChatGPT training course will teach you the fundamentals of prompt engineering for large language models (LLMs). Attendees learn how to craft effective prompts to guide LLMs in generating the desired output. Students also learn about different prompting techniques, including zero-shot prompting, few-shot prompting, chain-of-thought prompting, and retrieval-augmented generation.
Course Details
Duration
1 day
Prerequisites
No prior experience is presumed.
Target Audience
This ChatGPT course is ideal for anyone who wants to learn how to use prompt engineering to get the most out of LLMs. It is especially relevant for researchers, developers, and other professionals who use LLMs for tasks such as content generation, machine translation, and code generation.
Skills Gained
- Use ChatGPT to generate high-quality text, retrieve information, and engage in human-like conversations
- Craft well-structured prompts using various techniques (zero-shot, few-shot, chain-of-thought) to guide ChatGPT and achieve desired outputs
- Apply ChatGPT in practical scenarios such as content creation, information gathering, coding assistance, and problem-solving
- Critically evaluate ChatGPT's responses, recognizing potential biases and limitations to ensure responsible and ethical use
- Explain the capabilities and limitations of ChatGPT with both technical and non-technical audiences
- Explore the broader implications of ChatGPT and similar AI technologies for the future of work, communication, and knowledge acquisition
Course Outline
- 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
Upcoming Course Dates
