Mastering Chatgpt Prompt Engineering Principle To Practical

Free Download Mastering Chatgpt Prompt Engineering Principle To Practical
Published 11/2023
MP4 | Video: h264, 1920×1080 | 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
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