It has been a while since my last post, but I finally managed to wrap-up another cool project for LinkedIn Learning that covers ChatGPT and technical prompts.
In this course, I will share valuable tips for using ChatGPT, with a special focus on mastering the logic of the prompts for technical scenarios. We delve into breaking down the elements of a prompt, understanding the crucial transition from a traditional search-based approach to embracing a prompt mindset, and learning to formulate relatable analogies to make intricate technical ideas easier to grasp.
Together, we’ll discover how to supercharge your prompts with ChatGPT-4 Plugins, create sample datasets for demos and presentations, and explore many more insightful tips and strategies. This is an introductory course, but stay tuned as a more complex one will be coming up 😉
Here is a quick preview:
Break down the elements of a prompt from Nano Tips for Leveraging Technical Prompts Using ChatGPT with Lachezar Arabadzhiev
The Curriculum
Leverage Technical Prompts in ChatGPT
- Break down the elements of a prompt
- Transform from a “search” to “prompt” mindset
- Create analogies for complex technical concepts
- Supercharge your prompts with ChatGPT-4 Plugins
- Generate sample datasets for demos and presentations
- Create a data visualization
- Create automation flows with Zapier
- Summarize YouTube videos with VoxScript
- Apply advanced computations with Wolfram
- The future of AI and ChatGPT
Also, it is always recommended to stay up to date with the latest release notes ChatGPT has, as they are always shipping new features.
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