Search Results are not Coming in AI Chatbot Prompt engineering is a term that has come into use with the discussion of generative AI. Some call it a new job of the AI age, while others call it a basic skill.
Prompt helps to write text in various AI models, translate languages, write various articles, and answer user questions. The user uses an input or query to get the desired response or answer from the AI, which is called a prompt. Similarly, prompt engineering is the process of designing and improving prompts to make the response from such AI models accurate.
The more prompt engineering skills and capabilities you have, the better results you will get from AI models. But what should be understood, the prompt does not support the Nepali language much. Therefore, to be good at prompt engineering and to practice it, you need to have basic knowledge of the English language. Today we are going to give information about various platforms that teach the same skill:
1. OpenAI
OpenAI, which has published generative AI models like Dal-e, and ChatGPT, has also taught how to interact with them. The tutorial created by OpenAI is basic and superficial.
This can be very useful for those who don’t know anything about prompts. In the tutorial, various methods of creating Able prompts have been taught. Prompt engineering is easy to understand as it is given with examples. Click here to go to the course.
2. Maximilian Vogel (Maximilian Vogel)
The tutorial on prompts prepared by Bhogal for writing in Medium is also useful. In this, he has taught things like how to give clear instructions to the AI model, how to work with data, and how to prepare prompt templates.
For this, he has also kept various examples and tables/graphics. Which has helped me understand the article more. Click here to read the article.
3. Learn Prompting
Established to teach everything related to AI, prompts, this website is very important for those who are looking to learn about prompt engineering. From the basics of prompts and AI, its various types are also discussed.
Apart from the rest, even if you study all the resources in it thoroughly, you will know a lot about prompts. Resources/reference materials are provided on the website to understand prompt engineering from novice to expert. Click here to go to the website.
4. Vanderbilt University
Another good dose of understanding prompt engineering is a three-week course taught by computer scientist and Vanderbilt University professor Jules White. In this, he has covered many topics such as the concept of prompts, prompt patterns, and types of prompts.
He has given various research papers and examples to explain these topics. Although the online learning platform Coursera is available for free, you have to pay for exams and certificates. Click here to go to the course.
5. Prompt Engineering Guide
Another good option for learning about prompt engineering is this guide, which tries to explain through long articles. Not only prompt engineering, but also large language models (LLMM), AI models, and other topics are covered.
6. Deep Learning AI
However, this course is made for developers/coders. However, if you want to know the technical side of prompts, you can study this course.
Nine topics are covered in the video-based course prepared by the developers of OpenAI. In which the technical aspect of prompt engineering is explained.
7. edX
The course is available on the online learning platform EdX has been prepared by the American technology company IBM. In this course of three weeks duration, you will get to know the practical methods and methods related to prompt engineering.
You will also learn about some prompt engineering tools. Since the medium of teaching is video, it will be easy for you to understand more. But it also requires a fee for the certificate. Click here to go to the course. If your ex is missing its live class you can find it in the archive.
Apart from these above platforms or resources, there are many options to learn prompt engineering. There are many related videos on YouTube, various e-learning platforms, and many blog posts online.