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Prompt Engineering Crash Course

Agenda

Dive into the dynamic world of prompt engineering with our comprehensive crash course! Learn the intricacies of crafting effective prompts to communicate seamlessly with Large Language Models. From understanding the nuances of language models like GPT-3.5 to the hands-on practice of designing prompts for various use cases, this course has got you covered.

Key Takeaways:

  • Understanding what prompt engineering is and why it matters.
  • Use cases for prompt engineering such as text summarization, question answering, text classification, and more.
  • Prompt engineering techniques such as n-shot prompting, chain-of-thought prompting, and generated knowledge prompting with code demonstrations.
  • Discover tactics such as using delimiters, specifying output format, and adjusting the temperature. These practical tips will boost your prompt engineering skills.
Hyder-LLMs-Generative AI
Syed Hyder Ali Zaidi

Azure Certified Data Scientist at Data Science Dojo

Hyder is an Azure-Certified Data Scientist at Data Science Dojo. He specializes in working with LLMs (Language Model Models) and computer vision services. Hyder has hands-on experience in developing projects that utilize LLMs for Natural Language Processing (NLP) tasks and applying computer vision techniques for visual data analysis.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!