Unlocking the Power of AI: Learn Expert Tips from Renowned AI Expert Andrew Ng

Table of Contents

1. Introduction
2. Understanding Chat GPT
   • Retrieval Plugin
   • Teaching Language Model Technology
3. The Power of API Calls
   • Building Software Applications
   • Possibilities and Best Practices
4. Prompting Best Practices for Software Development
5. Common Use Cases
   • Summarizing
   • Inferring
   • Transforming
   • Expanding
6. Building a Chat Bot Using LLM
7. Sparking Imagination for New Applications
8. Types of Language Models
   • Base LMs
   • Instruction Tunes LMs
9. The Shift Towards Instruction Tunes LMs
10. Acknowledgements
11. Giving Clear Instructions to Language Models

Introduction

Welcome to this course on Chat GPT Prom, Engineering for Developers. In this course, we will explore the possibilities of using OpenAI's Chat GPT as a developer and discuss the best practices for prompt engineering. This course is designed to help You leverage the power of large language models (LLMs) through API calls to quickly build software applications.

Understanding Chat GPT

OpenAI's Chat GPT is a powerful language model that can be used to perform a wide range of tasks. One of its notable features is the retrieval plugin, which enables users to Interact with the model through a web user interface. However, there is still an underappreciated aspect of using the model as a developer by making API calls to OpenAI's servers.

Teaching language model technology is also an important aspect of our discussion. Our focus will be on using LLMs for prompt engineering and integrating them into different products. We will Delve into the OpenAI Cookbook, which provides valuable insights into effective prompting practices.

The Power of API Calls

Building software applications using API calls to LLMs has immense potential. In this course, we will explore the possibilities and best practices for leveraging LLMs to quickly develop applications. By the end, you will have a clear understanding of how to make the most of this technology in your own projects.

Prompting Best Practices for Software Development

Before diving into the common use cases, it is vital to establish proper prompting best practices for software development. We will explore techniques to optimize Prompts for effective outcomes. Clear and specific instructions, along with providing appropriate Context, will be discussed to facilitate the desired results.

Common Use Cases

LLMs can be utilized for various use cases in software development. We will cover several common scenarios, including summarizing text, inferring information, transforming data, and expanding on given prompts. Each use case will be explained in Detail, highlighting the best approaches to achieve accurate and desired results.

Building a Chat Bot Using LLM

One of the practical applications we will explore in this course is building a chat bot using an LLM. We will guide you through the process of creating a chat bot that can interact with users and provide Relevant responses. You will gain hands-on experience in implementing an LLM-Based chat bot.

Sparking Imagination for New Applications

Throughout this course, we aim to Ignite your imagination and inspire you to think beyond the conventional use cases. You will be encouraged to explore innovative applications that can benefit from LLM technology. By the end, you will have a broader perspective on the potential of LLMs and the impact they can make in various domains.

Types of Language Models

To understand the capabilities of LLMs, it is crucial to differentiate between base LMs and instruction tunes LMs. We will explain the fundamental differences between these two types of models and Outline their respective purposes. This knowledge will guide you in selecting the most appropriate LLM for your specific requirements.

The Shift Towards Instruction Tunes LMs

While base LMs have their advantages, the practical usage scenarios are leaning more towards instruction tunes LMs. This course recommends focusing on instruction tunes LMs due to their ease of use and alignment with safety concerns. We will discuss the reasons behind this shift and the benefits it brings to developers.

Acknowledgements

We would like to acknowledge the contributions of the teams from OpenAI and Deep Learning.ai who have contributed to the materials for this course. Their expertise and insights have helped Shape this curriculum and ensure its relevance and accuracy.

Giving Clear Instructions to Language Models

When working with an instruction tunes LLM, Clarity in instructions is crucial for obtaining the desired outputs. We will explore examples of how to provide clear and specific instructions to the LLM. Additionally, giving the model sufficient time to think is another important principle of prompting that we will discuss.

Building Software Applications with Chat GPT

Welcome to the course on building software applications with OpenAI's Chat GPT. In this course, we will explore the power of large language models and how they can be harnessed through API calls to quickly develop innovative applications. Using Chat GPT as a developer offers immense possibilities, and We Are here to guide you through the best practices to make the most of this technology.

To start off, we will provide an overview of Chat GPT, specifically focusing on its retrieval plugin and teaching language model technology. These components play a crucial role in leveraging the capabilities of the model for prompt engineering and improving user interactions. We will also discuss the OpenAI Cookbook, which serves as a valuable resource for prompt engineering practices.

The course will then dive into the use of API calls to build software applications. We will explore the potential of Chat GPT as a tool for developers, highlighting different use cases and the best practices to achieve optimal results. Whether it's summarizing text, inferring information, transforming data, or expanding on prompts, we will provide step-by-step guidance to help you implement these functionalities effectively.

In addition to addressing common use cases, we will guide you through the process of building a chat bot using Chat GPT. You will gain practical experience in creating a conversational interface that can interact with users and provide relevant responses. Through this hands-on project, you will develop a deeper understanding of how to integrate Chat GPT into your own applications.

Throughout the course, we aim to inspire your imagination and encourage you to explore new applications that can benefit from the power of large language models. By the end, you will have the knowledge and skills to leverage Chat GPT in your software development Journey.

So, let's dive in and uncover the vast possibilities of building software applications with Chat GPT.