Learn Prompt Engineering in ChatGPT , AI Series - 3
AI Series - 3
Learn Prompt Engineering in ChatGPT
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In this video, we will discuss prompt engineering, a technique for improving the performance of AI language models. We will learn how to use prompt engineering to generate more creative, informative, and accurate text. We will also explore some of the best practices for prompt engineering, and we will see some examples of how prompt engineering can be used in practice.
This video is part of a series on AI, and it is designed for beginners who are interested in learning more about how AI works. No prior knowledge of AI is required.
Here are some of the topics that will be covered in the video:
What is prompt engineering?
How does prompt engineering work?
Best practices for prompt engineering
Examples of prompt engineering in practice
By the end of the video, you will have a good understanding of prompt engineering and how to use it to improve the performance of AI language models. You will also be able to apply prompt engineering to your own projects.
Here are some of the benefits of learning prompt engineering:
You will be able to generate more creative, informative, and accurate text.
You will be able to improve the performance of AI language models.
You will be able to use prompt engineering to automate tasks and save time.
If you are interested in learning more about AI, then this video is for you. Watch it today and start learning how to use prompt engineering to improve the performance of AI language models.
Here are some additional resources that you may find helpful:
The Art of Prompt Engineering with ChatGPT: https://www.amazon.in/Art-Prompt-Engi...
Mastering ChatGPT and Prompt Engineering: https://www.amazon.com/Mastering-Chat...
AI ChatGPT Complete Guide: Prompt Engineering Masterclass: https://www.udemy.com/course/ai-promp...
Prompt Engineering Wikipedia page: https://en.wikipedia.org/wiki/Prompt_...
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In this video, we will explore the role of transformers in ChatGPT, a large language model that can generate realistic and coherent chat conversations. We will discuss the key components of transformers, such as the encoder and decoder, and how they work together to process and generate text. We will also look at some of the benefits of using transformers for natural language processing tasks.
By the end of this video, you will have a better understanding of how transformers work and how they can be used to create powerful language models.
#promptengineering #gpt4 #openai
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