Published 1/2024
Created by TechXplainator Academy
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 94 Lectures ( 4h 2m ) | Size: 2.14 GB
A Guide to Writing Better Prompts
What you’ll learn:
How to apply AI for problem-solving, such as information processing, content transformation, and content creation.
Learn the language required to effectively prompt AI for tasks such as analysis, critique, summarization, clarification, modification, or content creation.
Improve AI interactions by strategically applying prompt patterns like the persona pattern, few-shot prompting, or others for better results.
Gain inspiration on using AI to broaden your knowledge, leveraging prompt improvement patterns to have the AI teach you new things or enhance your prompts.
Requirements:
No previous experience with AI is required.
You will need to sign up for the free version of ChatGPT or other AI models like Google Bard or Claude from Anthropic
Description:
This course focuses on practical applications in real-world scenarios. Think of it as a guide that explains the most effective ways to interact with large language models and solve various problems.Module 1 begins by demystifying the basics of AI and shedding light on how large language models function. We’ll clarify what prompt engineering is and what it isn’t.In Module 2, we’ll explore practical problem-solving techniques through real-life examples in various contexts. You’ll discover how to craft prompts that effectively address challenges like information processing, content transformation, and content creation. We will examine the various operations within each category, including tasks like data analysis, text clarification, content modification, brainstorming, and planning, among others.Module 3 explores different prompt patterns, which serve as guides to enhance your interactions with AI. These patterns fall into different categories, each with a specific purpose. Some aim to enhance your interaction, others strive for improved AI output, while some set a context for optimal responses. There are patterns to minimize errors or bias, and others designed to refine how you express inputs to the AI. We’ll explore each of these prompt patterns using simple and relatable examples.Finally, Module 4 wraps up with valuable tips to improve your prompt proficiency when engaging with ChatGPT.Throughout the course, we’ll use the free version of ChatGPT, but the principles apply to other large language models as well.By the end of this course, you’ll have a robust toolkit of prompt engineering techniques and patterns at your disposal, ready to elevate your interactions with AI.
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