Master the architecture of LLMs like GPT-4, learn iterative prompt engineering, and discover practical use cases.
Sub Category
- No-Code Development
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Objectives
- Understand how LLMs work, including their architecture, training process, and key parameters.
- Learn effective prompt customization techniques, including iterative development, structuring prompts, and identifying roles.
- Discover how to optimize LLM performance through parameter adjustment, including temperature, top-p, and max tokens.
- Explore practical use cases in data analytics, sentiment analysis, and content creation to apply LLMs effectively.
- Gain insights of ethical considerations in LLM use and learn best practices for responsible deployment.
- Learn step-by-step tutorials on leveraging prompt engineering platforms, facilitating collaboration among teams, and maximizing productivity.
Pre Requisites
- No programming experience needed.
- Whether you're a pro or just starting out, you'll find useful tips and ideas you can use right away.
- No paid subscription required.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)