Prompt Engineering Unleashing Power Of Ai Llm Like Chatgpt

Prompt Engineering – Unleashing Power Of Ai Llm Like Chatgpt
Published 9/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz

What you’ll learn

Comprehensive Knowledge of ChatGPT: Learn about ChatGPT, its architecture, and its training process, gaining insights into its strengths and limitations.

Effective Prompt Design: Develop skills to create well-structured & effective prompts that yield accurate & relevant responses from AI assistants like ChatGPT

Tailoring Responses: Learn techniques for influencing the style, tone, and content of the AI-generated responses through careful prompt engineering.

Maximizing Creativity and Innovation: Discover methods to stimulate creative thinking & innovative problem-solving using AI assistants to generate new ideas.

Ethical Considerations: Ethical implications of using AI assistants & importance of responsible prompt engg to avoid bias, misinformation & other ethical issues

Advanced Techniques: Dive into advanced prompt engg strategies, including techniques for generating longer-form content, improving coherence, and more.

Real-world Applications: Apply acquired knowledge to real-world scenarios by crafting prompts catering industries like marketing, writing, programming, customer

Iterative Learning and Improvement: Learn how to iteratively refine prompts and responses to achieve desired outcomes, and understand how to work with ChatGPT

Evaluating and Debugging Responses: Develop skills to critically evaluate AI-generated responses, identify potential errors or inaccuracies, and troubleshoot.

Best Practices: Acquire comprehensive set of best practices for working with AI assistants, like staying up-to-date with advancements, adapting to model etc.

Building AI-Powered Workflows: Learn how to integrate AI-generated content seamlessly into your existing workflows, enhancing productivity & efficiency

Practical Implementation: Apply your knowledge through hands-on exercises & projects that involve crafting prompts & evaluating AI-generated responses.

Requirements

Basic Computer Literacy: Learners should have a fundamental understanding of how to operate a computer, navigate the internet, and use basic software applications.

Internet Connection: As the course likely involves online resources, learners should have a stable and reliable internet connection to access course materials, platforms, and tools.

Access to a Computer or Device: Learners will need access to a computer, laptop, or mobile device that supports web browsing and online learning platforms.

Willingness to Experiment: Since the course focuses on exploring and experimenting with prompt engineering, learners should be open to trying out different approaches and iterating on their work.

Curiosity and Critical Thinking: Encourage learners to approach the material with curiosity and an eagerness to think critically about AI-generated responses and prompt design.

Basic Writing Skills: While you will cover prompt engineering techniques in the course, a basic ability to write clearly and coherently will be beneficial for creating effective prompts.

Interest in Technology and Innovation: Learners who have an interest in technology, AI advancements, and innovative applications will likely find the course content more engaging and relevant.

No Coding Experience Required: You can design the course to be accessible to individuals without coding experience, focusing on prompt design and concepts rather than coding implementations.

Description

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Introduction: Video Lecture

Lecture 3 Lesson Plan

Lecture 4 Opening Case Study

Lecture 5 Opening Case Study: Video Lecture

Lecture 6 Section 1: Introduction to AI Language Models and ChatGPT – Section Introduction

Lecture 7 Section 1: Introduction to AI Models and ChatGPT – Section Intro: Video Lecture

Lecture 8 From Rule-Based Systems to ChatGPT: The Evolution of AI Language Models

Lecture 9 Rule-Based Systems to ChatGPT: Evolution of AI Language Models: Video Lecture

Lecture 10 ChatGPT’s Intelligence Unveiled: The Marvelous LLM Architecture

Lecture 11 ChatGPT’s Intelligence Unveiled: The Marvelous LLM Architecture: Video Lecture

Lecture 12 The Power of Transfer Learning: How ChatGPT Becomes an Invaluable AI Assistant

Lecture 13 Power of Transfer Learning: ChatGPT Becoming an Invaluable AI Assistant: Video

Lecture 14 Unveiling the Boundaries: ChatGPT’s Limitations and Vital Role of Prompt Engg.

Lecture 15 ChatGPT’s Limitations and Vital Role of Prompt Engg.: Video Lecture

Lecture 16 Prompt Engineering: A Solution to Addressing Limitations

Lecture 17 Prompt Engineering: A Solution to Addressing Limitations: Video Lecture

Lecture 18 Section 1 Conclusion

Lecture 19 Complimentary copy of the published book on the same subject

Section 2: Understanding Prompt Engineering

Lecture 20 Section Intro: What is Prompt Engg and Role of Prompts, influencing AI Responses

Lecture 21 What is Prompt Engg and Role of Prompts, influencing AI Responses: Video Lecture

Lecture 22 Understanding the significance of Prompt Engg.

Lecture 23 Understanding the significance of Prompt Engg.: Video Lecture

Lecture 24 How do prompts influence AI responses?

Lecture 25 How do prompts influence AI responses?: Video Lecture

Lecture 26 Section Conclusion

Lecture 27 Section Conclusion: Video Lecture

Section 3: The Science Behind ChatGPT: How Does It Work?

Lecture 28 Section Intro

Lecture 29 Section Intro: Video Lecture

Lecture 30 In-depth explanation of ChatGPT’s architecture

Lecture 31 In-depth explanation of ChatGPT’s architecture: Video Lecture

Lecture 32 Shaping ChatGPT’s capabilities – pre-training and fine-tuning

Lecture 33 Shaping ChatGPT’s capabilities – pre-training and fine-tuning: Video Lecture

Lecture 34 Section Conclusion

Lecture 35 Section Conclusion: Video Lecture

Lecture 36 Section Intro

Lecture 37 Section Intro: Video Lecture

Lecture 38 Essential components of effective prompts

Lecture 39 Essential components of effective prompts: Video Lecture

Lecture 40 Addressing the ethical challenges in prompt engineering

Lecture 41 Addressing the ethical challenges in prompt engineering: Video Lecture

Lecture 42 Fine-tuning prompts to specific tasks

Lecture 43 Fine-tuning prompts to specific tasks: Video Lecture

Lecture 44 Addressing limitations and challenges of fine tuning

Lecture 45 Addressing limitations and challenges of fine tuning: Video Lecture

Lecture 46 Section Conclusion

Lecture 47 Section Conclusion: Video Lecture

Section 5: Prompt Engineering Best Practices

Lecture 48 Section Intro

Lecture 49 Section Intro: Video Lecture

Lecture 50 Techniques to Improve Prompt Effectiveness

Lecture 51 Techniques to Improve Prompt Effectiveness: Video Lecture

Lecture 52 Iterative approaches to prompt refinement

Lecture 53 Iterative approaches to prompt refinement: Video Lecture

Lecture 54 Customizing Prompts to Different Contexts, Personas, and Goals

Lecture 55 Customizing Prompts to Different Contexts, Personas, and Goals: Video Lecture

Lecture 56 Section Conclusion

Lecture 57 Section Conclusion

Section 6: Real-World Applications of ChatGPT and Prompt Engineering

Lecture 58 Case Study 1: Unleashing Creative Power of ChatGPT: Story of Content Creation

Lecture 59 Case Study 1: Unleashing Creative Power of ChatGPT: Video Lecture

Lecture 60 Case Study 2: Empowering Medical Care with ChatGPT: Journey of Innovation & Heal

Lecture 61 Case Study 2: Empowering Medical Care with ChatGPT: Video Lecture

Lecture 62 Section Conclusion

Section 7: Popular and effective ways to interact with ChatGPT

Lecture 63 Section Intro

Lecture 64 Section Intro: Video Lecture

Lecture 65 The Storyteller’s Quest

Lecture 66 The Storyteller’s Quest: Video Lecture

Lecture 67 The Creative Conductor

Lecture 68 The Creative Conductor: Video Lecture

Lecture 69 The Curious Inquirer

Lecture 70 The Curious Inquirer: Video Lecture

Lecture 71 The Solution Seeker

Lecture 72 The Solution Seeker: Video Lecture

Lecture 73 The Language Alchemist

Lecture 74 The Language Alchemist: Video Lecture

Lecture 75 The Thought Provoker

Lecture 76 The Thought Provoker: Video Lecture

Section 8: Tips and tricks for productivity and creativity

Lecture 79 Introduction and advanced prompt engineering strategies

Lecture 80 Introduction and advanced prompt engineering strategies: Video Lecture

Lecture 81 Collaborative Power Tips

Lecture 82 Collaborative Power Tips: Video Lecture

Lecture 83 Section Conclusion

Section 9: Dos And Don’ts

Lecture 84 Dos And Don’ts for maximizing results

Lecture 85 Section Conclusion

Section 10: The Future of Prompt Engineering and LLM AI Assistants

Lecture 86 Section Intro

Lecture 87 Section Intro: Video Lecture

Lecture 88 Latest trends and advancements in prompt engineering

Lecture 89 Latest trends and advancements in prompt engineering: Video Lecture

Lecture 90 Section Conclusion

Section 11: Conclusion

Lecture 91 Concluding Remarks