Learn how to craft effective prompts to guide large language models to generate the desired output with this comprehensive course on getting the most out of ChatGPT.
Learn how to craft effective prompts to guide large language models to generate the desired output with this comprehensive course on getting the most out of ChatGPT.
This ChatGPT training course will teach you the fundamentals of prompt engineering for large language models (LLMs). You will learn how to craft effective prompts to guide LLMs to generate the desired output.
You will also learn about different prompting techniques, including zero-shot prompting, few-shot prompting, chain-of-thought prompting, and retrieval-augmented generation.
Objectives
Understand the basics of prompt engineering and its importance for LLMs
Identify the factors that affect prompt effectiveness
Learn different ways of structuring prompts and using examples
Explore advanced prompting techniques, such as zero-shot prompting, few-shot prompting, chain-of-thought prompting, and retrieval augmented generation
Apply prompt engineering to real-world scenarios in a group project
Understand the security risks and ethical considerations associated with prompt engineering
Prerequisites
No prior experience is presumed.
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.
Outline for ChatGPT Basics Training
Chapter 1: Understanding the Prompt
The Basics
Pitfalls
Highlighted Techniques
Understanding the Limitation
Chapter 2: 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
Chapter 3: Techniques for Crafting Effective Prompts
Factors affecting prompt effectiveness
Ways of structuring prompts
Prompting with examples
Chapter 4: 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
Chapter 5: Group Project: Applying Prompt Engineering to Real-world Scenarios
Real World Scenarios
Group Project
Chapter 6: 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
Since 1999, Web Age Solutions has been committed to helping our clients thrive. Whether that’s through off-the-shelf-courses or fully customized programs, we tailor our offerings to meet client needs. As a result, we’ve had the privilege of working with some of the biggest names in business in a range of industries, including TELUS, Nokia, UPS, and Comcast.
Serving clients throughout North America, Africa, Australia, Europe, and the Middle East, we offer flexibility, ease, and peace of mind.
At Web Age Solutions, it’s vital to make sure our clients are in good hands. That’s why we’re always on the lookout for exceptional instructors and information technology sales professionals.
If our core values resonate with you, be sure to get in touch with us today through our Careers page.
Discovering Artificial Intelligence (AI) within Computer Generated Imaging (CGI). Understanding the theoretical aspects and the ongoing research. Integrating AI into daily creative work, visual creations, architecture, design and art. Exploring the AI ??universe.
This course bundle will provide you with a foundation of practical knowledge on artificial intelligence (AI) and machine learning. You will begin with the science behind AI computer systems, which can perform tasks that typically require human intelligence, and AI ethics, applications, and more.
The Artificial Intelligence job program at Justwin IT Solutions delivers a basic grounding in the principles and practices around artificial intelligence (AI), automation, and cognitive systems.
The NLP and LLM short course is designed for data scientists and software engineers who want to become specialists in natural language processing.
This data science course and AI course from Thinkcloudly will help students to become masters in machine learning & Artificial Intelligence Training Experts. You will learn from top professors and industry experts while being coached one-on-one.
© 2024 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy