ChatGPT and GPT-4 LLM Guide- Prompt Engineering for Everyone

In this video we discuss the definition and uses of Prompt Engineering. We'll talk about the usage of prompts in A.I. systems like GPT4 or chatGPT and understand together why learning to use A.I. systems has become an essential skill.

In this video we explore the additional resources included with the course and how they can be used to improve your prompt engineering experience and enhance your learning.

This lecture details a number of key concepts and definitions that will help you start navigating the field of A.I. & Prompt Engineering and avoid common confusions in this domain.

Here is a short 5 question quiz that will help you evaluate your knowledge for this section:

In this lecture we will discuss the building blocks of prompt engineering: Inputs, Outputs, and Parameters

In this lecture, we'll explore how to craft simple prompts, different techniques to create increase effectiveness, and some best practices to follow.

In this lesson, we'll explore how to evaluate and refine your prompts, using an iterative process that's easy to implement and accessible.

In this section, we'll explore some simple but essential principles to follow when working with A.I. to create prompts.

In this section, we'll explore the techniques of role prompting and nested prompting and we will understand how they can be used to achieve more specific or (when required) more comprehensive results.

Here we'll explore the concept Chain-of-Thought Prompting and it can be used to solve more complex scenarios with A.I. systems

Here, we'll explore the process of working with multiple languages and different modes of communication using A.I. discussing example systems like chatGPT, GPT4, Midjourney and Stable Diffusion.

Here we'll explore the non-deterministic nature of A.I. and discuss strategies for managing the variability and uncertainty that comes with it.

Here we'll discuss how we can work together with A.I. systems to create a powerful synergy that can improve our lives and careers.

This lecture provides an example of a chaos prompting session and explains "chaos prompting" as an ingenious tool for sparking new ideas and increase our creative potential.

In this module, it's time to explore a more technical topic: How can software developers benefit from using an A.I. model as an assistant. This module is divided in two parts. In the first part, we discuss about the pro's and con's of using A.I. for code generation.

This is the second part on the module talking about how can software developers benefit from using an A.I. model as an assistant. This module is divided in two parts. In the second part, we explore a typical, generic flow that software developers may use to create applications. We also discuss about other potential uses cases for A.I. in areas related to software development.

A new and interesting technique that we might use in order to overcome some limitations of current A.I. models is called "prompt compression". In this module we explore the uses and potential benefits of this method.

Problem solving has never been easier now that we can use AI to assist in this process. In this lecture we'll explore how chatGPT can help us solve complex problems using two popular methods: The Fishbone Analysis and SWOT. We'll also learn about a cool way to produce diagrams and other visual representations with chatGPT.

AI-assisted questioning is yet another interesting problem solving technique that we can use when faced with complex problems. Let's see together how it works.

In this lesson, we'll dive into how prompt engineering in chatGPT or GPT4 can help automate emails and social media posts, making our digital lives more efficient and engaging.

In this lesson, we'll explore how prompt engineering can help create engaging and well-crafted content in various formats.

In this lesson, we'll explore how prompt engineering can help with task delegation and project management.

Here we'll discuss how A.I. can complement human support agents, handle repetitive tasks and inquiries, and improve response times and customer satisfaction.

In this module, we'll explore how A.I. and prompt engineering can assist people working in retail and e-commerce, making their jobs more efficient and helping them deliver better customer experiences.

In this lecture, we'll explore how prompt engineering can assist in uncovering hidden patterns, providing deeper understanding, and making more informed decisions.

In this module, we'll explore how A.I. can help us generate ideas and drafts for creative writing and brainstorming.

In this module, we'll explore how A.I.-powered tools can help you save time, find relevant information, and analyze content effectively.

We'll also look at some example prompts you can use with A.I. engines like chatGPT and GPT-4 to make your research process more efficient.

In this lecture,  we're going to explore how AI engines like GPT-4 and chatGPT can help us enhance our communication skills.

We'll focus on proofreading, writing, and adapting our style and tone to different audiences.

In this section, we'll discuss how A.I.'s like GPT4 or chatGPT can help us manage our time and prioritize tasks more effectively.

We'll also explore how A.I. can assist in making data-driven decisions and optimizing resource allocation.

Here,  we'll explore how A.I.-powered personalized learning paths can help you continually grow your professional skills and stay updated with industry trends.

We'll dive into how systems like GPT4 and chatGPT can assist you in identifying skill gaps, crafting personalized learning plans, and discovering relevant content.

In this lecture we'll learn how to create inclusive prompts and consider the impact of our language models on a diverse audience, ensuring fairness and reducing bias in prompt engineering.

In this lecture we'll be discussing privacy and data security in the context of prompt engineering when using A.I. systems like chatGPT or GPT4.

In this module we will discuss responsible A.I. and its implications for the future of work. We'll cover a set of guiding principles that should be applied when using A.I. systems like GPT4 and chatGPT

A brief introduction to the ChatGPT plugins. How they work, how to install and activate the plugins and their benefits and limitations.

This lecture contains a discussion about several examples of useful ChatGPT plugins and how they can be used in real life scenarios.

This is the first of three lectures describing the most advanced ChatGPT plugin (the Code Interpreter) - recently rebranded by OpenAI as the Advanced Data Analysis plugin. This lecture provides an introduction into the core features of the Advanced Data Analysis plugin together with the benefits and limitations of this feature.

This is the second of three lectures describing the most advanced ChatGPT plugin (the Code Interpreter) - recently rebranded by OpenAI as the Advanced Data Analysis plugin. This lecture provides several real-life useful examples of using the Advanced Data Analysis plugin.

This is the second of three lectures describing the most advanced ChatGPT plugin (the Code Interpreter) - recently rebranded by OpenAI as the Advanced Data Analysis plugin. This lecture provides more real-life useful examples of using the Advanced Data Analysis plugin.

In this lecture, students will learn how to use the Custom Instructions feature in ChatGPT in order to personalize their preferences and get a better, more tailored user experience.

Course conclusion and key takeaways.