Mastering Chatgpt Prompt Engineering Principle To Practical

Home » Tutorials » Mastering Chatgpt Prompt Engineering Principle To Practical

Mastering Chatgpt Prompt Engineering Principle To Practical

27-11-2023, 16:54 | babarlagend | Tutorials | 24 | 0

Mastering Chatgpt Prompt Engineering Principle To Practical

Published 11/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 818.85 MB | Duration: 1h 24m

ChatGPT Prompt Engineering: The Ultimate Guide to Effective Communication with ChatGPT. Unlocking the Power of ChatGPT.

What you'll learn
How to set up Chat GPT account
Understand the Large Language Model (LLMs)
Introduce Chat GPT algorithm in generating desired outcomes. How does Chat GPT work? How effectively does it condense the information to deliver the desired out
Leverage Chat GPT for the career opportunities in various fields such as AI, heath care, content creators,....
A step-by-step instructions to utilize Chat GPT for your work
Some common mistakes should avoid while searching in Chat GPT
Apply Chat GPT for different aspects of life, including education, social media, ideas, work, marketing, health

Requirements
Nothing more than a strong passion for Chat GPT

Description
It goes without saying that Chat GPT is an increasingly popular and indispensable chat box among people from different parts of the world. It is greatly powerful in dealing with tough questions and suggesting the best solution for users based on what they type in the chat box.In some cases, ChatGPT might not give the expected answer if users don't give it clear instructions with the right prompts. Thus, this course was created to address these issues by equipping you with all of the primary to advanced prompts to effectively leverage Chat GPT for your work.The course will cover the following key aspects:- Introduce prompt engineering: the definition of it, the necessity of prompt engineering in using Chat GPT - Set up Chat GPT: ChatGPT UI tour, openAI's pricing plan, create Chat GPT account- Large language model (LLM) Fundamental: the definition of it, Randomness of Output, two types of LLMs- ChatGPT Prompting principle: elements of prompt, use delimiters, structured output, check condition satisfied, "few-shot" prompting, Specify the steps required to complete a task, Instruct the model to work out its own solution before rushing to a conclusion- ChatGPT Prompting best practices: Direct and follow-up questions, Specificity - Clear and detailed instructions, Format response, Avoid Impreciseness, Explain it like I'm five, Zero-shot, then few-shot, Act as someone, Using tones.These main applications will definitely be useful to you for almost all cases in your work or even daily life. Any ineffectiveness you might encounter in life will be addressed in this course by an expert in IT _ Nguyen Nhat Truong Don't miss out on the opportunity to supercharge your skills! Join my course now and start achieving your goals !!!

Overview
Section 1: Course Introduction

Lecture 1 Introduce course, benefits of this course, who are the course for?

Lecture 2 What is Prompt Engineering in AI and career opportunities

Lecture 3 Preview ChatGPT's usage

Section 2: ChatGPT: Introduction, Setup, Workflow

Lecture 4 Setting up chatGPT account

Lecture 5 ChatGPT UI tour, openAI's pricing plan

Section 3: Large language model (LLM) Fundamental

Lecture 6 What is LLM - How does it really work?

Lecture 7 Randomness of Output

Lecture 8 Different types of LLM

Section 4: ChatGPT: Prompting principle

Lecture 9 Elements of Prompt

Lecture 10 Principle 1: Write clear and specific Instruction - Tatic 2: Structured output

Lecture 11 P1: Write clear and specific Instruction - Tatic 3: Check requirements

Lecture 12 Principle 1: Write clear and specific Instruction - Tatic 1: Use delimiters

Lecture 13 P1: Write clear and specific Instruction - Tatic 4: "Few-shot" prompting

Lecture 14 Principle 2: Give the model time to think - Overview

Lecture 15 Principle 2: Give the model time to think - Essential steps to complete a task

Lecture 16 Principle 2: Give the model time to think - Work out its own solution

Section 5: ChatGPT: Prompting best practices

Lecture 17 Direct and follow-up questions

Lecture 18 Specificity - Clear and detail instructions

Lecture 19 Format response

Lecture 20 Avoid Impreciseness

Lecture 21 Explain it like I'm five

Lecture 22 Zero-shot, then few-shot

Lecture 23 Act as someone

Lecture 24 Using tones

Section 6: Conclusion

Lecture 25 You did it! Congratulations on finishing this course!

Lecture 26 Bonus

Researchers and developers who want to use LLMs for their research or development projects,Content creators who want to use LLMs to generate creative content, or story, etc.,Business professionals who want to use LLMs to improve their productivity and efficiency.,Students who want to learn about the latest developments in AI and natural language processing.,Anyone who are interested in AI

HOMEPAGE

  https://www.udemy.com/course/mastering-chatgpt-prompt-engineering-principle-to-practical/

DOWNLOAD

https://rapidgator.net/file/33b89702789a9f8c404d79b039472814/Mastering_ChatGPT_Prompt_Engineering_Principle_to_Practical.rar.html

https://uploadgig.com/file/download/eE7afD4d2708Bc26/Mastering_ChatGPT_Prompt_Engineering_Principle_to_Practical.rar

Donate For Servers

Does Not Work?

We are in