Prompt Engineering Tutorial – Master ChatGPT and LLM Responses
via freeCodeCamp
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Overview
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Master prompt engineering techniques to enhance your interactions with ChatGPT and other large language models in this comprehensive tutorial. Explore the fundamentals of AI, machine learning, and linguistics before diving into practical applications of prompt engineering. Learn how to effectively use GPT-4, understand best practices, and navigate concepts like zero-shot and few-shot prompts. Gain insights into AI hallucinations and text embeddings, equipping yourself with the skills to optimize your prompts and achieve better results from language models.
Syllabus
⌨️ Introduction
⌨️ What is Prompt Engineering?
⌨️ Introduction to AI
⌨️ Why is Machine learning useful?
⌨️ Linguistics
⌨️ Language Models
⌨️ Prompt Engineering Mindset
⌨️ Using GPT-4
⌨️ Best practices
⌨️ Zero shot and few shot prompts
⌨️ AI hallucinations
⌨️ Vectors/text embeddings
⌨️ Recap
Taught by
freeCodeCamp.org
Reviews
4.3 rating, based on 3 Class Central reviews
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"Having completed a brief course on prompt engineering, I am impressed by its efficacy in honing my skills with ChatGPT. The course provided a comprehensive understanding of crafting prompts to elicit desired responses, optimizing engagement, and enhancing communication efficiency with the model. Through practical exercises and theoretical insights, I gained valuable proficiency in tailoring prompts for specific tasks and contexts. This newfound mastery empowers me to leverage ChatGPT more effectively across various domains, ensuring clearer and more impactful interactions. Overall, the course has been instrumental in refining my abilities and deepening my understanding of prompt engineering principles."
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I recently completed the "Prompt Engineering Tutorial – Master ChatGPT and LLM Responses," and I must say, it exceeded my expectations. This tutorial is an exceptional resource for anyone looking to understand and master the art of crafting effective prompts for ChatGPT and other large language models (LLMs).
The tutorial is well-structured, starting with the basics of prompt engineering and gradually progressing to more advanced techniques. It provides a solid foundation for understanding how LLMs process and respond to prompts, which is crucial for anyone looking to leverage these models effectively in various applications. -
It was a good course but very basic as mentioned in the description. It is clear what points need to be considered while writing the prompts. I can't wait to learn it's advanced version of the course.