Learn prompt engineering techniques to enhance the performance of ChatGPT and other LLMs. The course covers topics such as prompt engineering mindset, using GPT-4, best practices, zero shot and few shot prompts, AI hallucinations, and vectors/text embeddings. The teaching method includes lectures on AI, linguistics, and language models. This course is designed for individuals interested in improving their results from ChatGPT and other large language models.
Overview
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
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Reviews
4.0 rating, based on 1 Class Central review
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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."
