本课程《从零开始构建你的专属 ChatGPT 聊天机器人：API实战开发指南》将手把手教你如何使用ChatGPT API 创建多功能聊天机器人，并将其部署为可公开访问的网页应用。你将学习 ChatGPT API 的核心概念（如 tokens、temperature 等），结合 Streamlit、Ngrok、Google Colab 等工具，构建、定制并上线属于你自己的AI聊天机器人，适用于生活、教育、客服、娱乐等多场景。课程包含Python基础复习，无需AI或编程背景，适合希望将对话式AI应用于产品、服务或个人项目的开发者与爱好者。快速上手，释放你的AI创造力！
英文原版介绍
Published 2/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 766.24 MB | Duration: 2h 57m
Unlock the Power of Conversational AI: A Step-by-Step Guide to Building Your Own Chatbot Using the ChatGPT API
What you’ll learn
Master the complexity of the ChatGPT API, understanding its concepts, tokens, and parameters.
Master the creation of functional chatbots using the ChatGPT API, adeptly customizing them to diverse scenarios.
Learn chatbot deployment using Streamlit, sharing your chatbots widely and seamlessly integrating them into real-world applications.
Explore and become proficient in essential tools beyond ChatGPT, including Google Colab, Streamlit, Ngrok, and more.
Requirements
No prerequisites are required for taking this course.
Description
ChatGPT, the conversational AI that was published at the end of November 2022, has garnered global attention for its high accuracy and natural language interface. With its versatility in handling various tasks, from legal consultations and counseling to education and creative endeavors, ChatGPT has become a powerful tool.In this course, you’ll explore the capabilities of the ChatGPT API, enabling you to build and deploy chatbots with diverse personalities and functionalities. By leveraging this API, you can create highly efficient custom chatbots for applications in daily life, education, businesses, and more.Utilizing a large-scale language model, this course demonstrates how, through effective prompt inputs, you can customize your chatbots with various personalities and features.The curriculum begins with the basics of Python and an overview of the ChatGPT API, followed by a step-by-step guide through each stage where you will construct your own perfectly functional chatbot and publish it to the public. You will gain knowledge from the basic to the intermediate level.This course goes beyond learning about ChatGPT and its API; you will also discover all the required tools and techniques to create a perfect chatbot application, such as Google Colab, Streamlit, Ngrok, and more.Course Outline:Python Refresher:Understand the fundamentals of Python to write basic code to access the ChatGPT API for your chatbot application.ChatGPT Introduction:Learn about ChatGPT, its API concept, tokens, temperatures, and more.Environmental Setup:Set up all the requirements to create a chatbot, including the API.Chatbot Development:Use the ChatGPT API to construct practical chatbots.Publishing Chatbots:Learn how to publish your created chatbots on the web.Building Various Chatbots:Set up prompts for different types of chatbots, explore a range of functionalities, and combine them within a single application.To build and publish the chatbot web application, we’ll utilize the Streamlit library as a web framework. While the course provides minimal Python programming language explanations. The primary development environment for Python is Google Colaboratory.Course Requirements:Compatible with Windows or Mac for the local environment, using Google Colaboratory.No technical knowledge in AI or machine learning is required.Compatibility:Compatible with GPT-3.5/GPT-4.Requirements:Account creation for Google, OpenAI, Ngrok, and Github.Who this Course is for:Those interested in creating new services using the ChatGPT API.Individuals looking to enjoy easy chatbot construction.Those wishing to incorporate ChatGPT into their services.Professionals or hobbyists interested in utilizing conversational AI in their work or personal interests.Enthusiasts looking to enjoy “chatbot creation” as a hobby.Individuals exploring the possibilities of conversational AI.
Overview
- Section 1: Introduction
- Lecture 1 Course Introduction
- Section 2: Python Refresher
- Lecture 2 Section Introduction
- Lecture 3 Installing Python
- Lecture 4 String, Numbers, Booleans and Variables
- Lecture 5 List, Set, Tuples, Range and Dictionaries
- Lecture 6 Conditions and Comments
- Lecture 7 Loops, Functions and Modules
- Lecture 8 Class and Objects
- Lecture 9 Resources
- Section 3: ChatGPT Introduction
- Lecture 10 Section Introduction
- Lecture 11 OpenAI and ChatGPT
- Lecture 12 Tokens and Temperature
- Lecture 13 OpenAI Usage Policy
- Lecture 14 Resources
- Section 4: Environmental Setup
- Lecture 15 Section Introduction
- Lecture 16 Tools Overview
- Lecture 17 Google Colaboratory
- Lecture 18 Github and Streamlit
- Lecture 19 Ngrok and ChatGPT API
- Lecture 20 Resources
- Section 5: Chatbot Development
- Lecture 21 Section Introduction
- Lecture 22 Streamlit and Ngrok
- Lecture 23 Play with Streamlit
- Lecture 24 Integrate ChatGPT API
- Lecture 25 Create Chatbot
- Lecture 26 Resources
- Section 6: Chatbot Live
- Lecture 27 Section Introduction
- Lecture 28 Code Preparation
- Lecture 29 Create Github Repository
- Lecture 30 Application Deployment
- Lecture 31 Performance Analysis
- Lecture 32 Resources
- Section 7: Chatbot Manipulation
- Lecture 33 Section Introduction
- Lecture 34 Integrate Image in Chatbot
- Lecture 35 Multiple Chatbots with Multipage
- Lecture 36 Integrate More Chatbots with Different Prompts
- Lecture 37 Performance Analysis
- Lecture 38 Resources
- Section 8: Bonus Section
- Lecture 39 Bonus Lecture
Those interested in creating new services using the ChatGPT API.,Individuals looking to enjoy easy chatbot construction.,Those wishing to incorporate ChatGPT into their own services.,Professionals or hobbyists interested in utilizing conversational AI in their work or personal interests.,Enthusiasts looking to enjoy “chatbot creation” as a hobby.,Individuals exploring the possibilities of conversational AI.
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