Tutorials on Prompt Engineering Technqiues

Learn about Prompt Engineering Technqiues from fellow newline community members!

  • React
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  • Apollo
  • Storybook
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  • JavaScript
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  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL
  • React
  • Angular
  • Vue
  • Svelte
  • NextJS
  • Redux
  • Apollo
  • Storybook
  • D3
  • Testing Library
  • JavaScript
  • TypeScript
  • Node.js
  • Deno
  • Rust
  • Python
  • GraphQL

Prompt Engineering Techniques for Better LLM Results

*Time estimates are approximate and reflect typical pacing for learners working through the course material. The simple techniques, like zero-shot and role prompting, take minutes to learn. The advanced ones, like self-consistency and RAG, take hours. They also assume you already understand how the…
Thumbnail Image of Tutorial Prompt Engineering Techniques for Better LLM Results
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
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Prompt Engineering Techniques for Better LLM Outputs

Zero-shot, few-shot, and chain-of-thought give strong baseline results. Meta prompting, self-consistency, and role prompting help when the pipeline gets complex. Group the techniques by difficulty and time. That gives you a rough sense of cost before you commit. *Time includes drafting, testing,…
Thumbnail Image of Tutorial Prompt Engineering Techniques for Better LLM Outputs
Image of Author Dr. Dipen
Dr. Dipen
I am an AI/ML researcher with 150+ citations and 16 published research papers. I have three tier-1 publications, including Internet of Things (Elsevier), Biomedical Signal Processing and Control (Elsevier), and IEEE Access. In my research journey, I have collaborated with NASA Glenn Research Center, Cleveland Clinic, and the U.S. Department of Energy for various research projects. I am also an official reviewer and have reviewed over 100 research papers for Elsevier, IEEE Transactions, ICRA, MDPI, and other top journals and conferences. I hold a PhD from Cleveland State University with a focus on large language models (LLMs) in cybersecurity, and I also earned a master’s degree in informatics from Northeastern University.
•Last Updated:
00
Read Full Article

I got a job offer, thanks in a big part to your teaching. They sent a test as part of the interview process, and this was a huge help to implement my own Node server.

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