
Explore prompt engineering and build a ChatGPT-like chatbot with the ChatGPT API using React.js, while understanding practical applications, NLP basics, and ML concepts.
Explore prompt engineering as applying engineering principles to crafting context-rich prompts for artificial intelligence, with a focus on natural language processing, ChatGPT, and building a chatbot project.
Explore how artificial intelligence drives automation, data analysis, personalization, and natural language processing across industries, transforming healthcare, cybersecurity, education, and everyday life.
Discover who should join this course, from beginners to professionals, and explore prompt engineering, UI knowledge, and front-end and back-end basics with Express.js and Node.js.
Explore how ChatGPT operates, practice basic prompts, and learn prompt engineering for beginners, including API usage, controls, customization, performance, problem solving, and ethical considerations.
Explore prerequisites for the ChatGPT & React course, including a two-part structure, emphasis on prompt engineering, and familiarity with React, CSS, JavaScript, Node.js, and OpenAI's API integration.
Survey the chatbot ecosystem, highlighting OpenAI's chat GPT, Bard, and Bing AI, their data freshness and text-to-text generation, plus image generation with Midjourney and Dall-E.
Explore prompt engineering with ChatGPT, Midjourney, and related tools, learn how prompts shape AI responses, and practice building prompts to target audiences, debug code, and outline ad strategies.
Learn to craft more informative prompts for ChatGPT by adding context to elicit tailored responses. Demonstrate prompt engineering by showing how enhanced prompts shape AI output and guide further improvements.
Explore how to access Midjourney via discord or browser, join the server, claim your account, manage prompts in the newbies room, and compare $8–$48 subscription options.
Learn how prompt priming refines prompts for ChatGPT, adds background context, and yields targeted strategies with defined audiences, SEO, and social media ideas across Facebook, TikTok, YouTube, and Instagram Reels.
Discover prompt iteration in ChatGPT, recalling prior questions to tailor brand-specific insights, and surface JavaScript concepts—variables, data types, operators, loops, statements, and async and await.
Compare ChatGPT, Bard, and Bing to understand each tool's strengths. ChatGPT excels in math, coding, and relevant searches; Bard handles tables and images; Bing emphasizes web search results.
Explore prompt engineering within the ChatGPT context and guide building a private ChatGPT clone using React frontend, Node.js backend, OpenAI API, and Tailwind styling, without database storage.
Install and set up a pure React app with Create React App, running locally. Explore Tailwind CSS integration for a ChatGPT workflow in VS Code.
install and configure react and tailwind css, adjust project files, restart the server, and build a basic user interface to connect ChatGPT with a server.
Create a React ChatGPT clone with a sidebar, new chat button, and chat history, styled by tailwind css intellisense, using map for dynamic chats.
Set up a sidebar to separate chat history from settings with a scrollable div, 20% height, and a top border. Fine-tune icons and layout for the dashboard chat box.
Build a two-part chat interface in React, allocating 80% and 20%, render prompts in a styled chat box, and map an example array to a history list with Tailwind styling.
Link the background to the UI and set up a Node.js express server with cors and dotenv on port 8000. Install nodemon and express, and run the hello world.
Connect the app to the server by implementing the post method, using a data variable with the GPT 3.5 turbo module, and managing the OpenAI API key via environment variables.
Generate and manage your OpenAI API key by navigating documents, upgrades, and trial options. Learn how to create new API keys, handle credits, and use new accounts for continued access.
Test your api key with postman by sending raw json requests using a bearer token. Verify the key works by getting a response from the GPT 3.5 turbo model.
Build interactive chat with React hooks, manage chat state, and integrate backend APIs using async calls, json payloads, and prompt-driven user input.
Fix backend-frontend integration by fetching api data as json, logging the response, and setting up a new chat with an assistant role, addressing content versus item and on click handling.
Debug and improve your own chatbot by fixing js errors, capitalizing bearer, storing messages as arrays, and ensuring user and ai responses display correctly, with tailwind layout tweaks.
Learn how to display json data in a readable form by using text decoding and streaming, transforming response data into readable text for front-end display.
Connect back end to front end to display AI responses in the UI, use text decode a stream to read data, fix plus sign errors, and apply tailwind for readability.
Post to /api/title to generate chat title, build chat history, and use the text-davinci-002 model with tokens and temperature. Parse data.choices to extract a non-empty title and return status 200.
Create and manage a chat history with hooks, generate a single chat title via a title function, and fetch it with a post request and json headers.
Learn to build a ChatGPT clone with React.js, implement new chat by topic using prompts, and integrate OpenAI API for a tailored, UI-friendly experience.
Summarize prompt engineering fundamentals, explore image tools like Bart, Bing, and Midjourney, and explain creating a customizable ChatGPT clone with the OpenAI API for personal or organizational use.
This comprehensive course, designed for budding developers and tech enthusiasts, delves deep into the fascinating world of AI chatbot development using two powerful tools: React.js and OpenAI's ChatGPT. With a focus on practical, hands-on learning, the course guides you through every step of creating a dynamic, AI-powered chatbot application.
Spanning over several detailed modules, the course begins with a solid foundation in React.js, a popular JavaScript library for building user interfaces. You'll learn to set up your development environment, understand the basics of React components, state management, and the overall architecture of a React application. This knowledge is crucial as you start to build the layout and interface of your chatbot.
The heart of the course lies in the integration of ChatGPT, OpenAI's advanced AI language model. You'll explore how to seamlessly incorporate ChatGPT into your React application, creating a responsive, intelligent chatbot. The course covers essential topics like API integration, handling user inputs, and generating AI responses, ensuring your chatbot is both functional and engaging.
API integration is a key focus, as you'll learn to connect your React app with ChatGPT through a backend, using Node.js and Express.js. This section includes practical exercises on setting up servers, managing API requests and responses, and ensuring smooth communication between your frontend and the AI model.
Another significant aspect of the course is UI/UX design. You'll learn to create an intuitive, user-friendly interface for your chatbot, ensuring a seamless user experience. The course covers advanced UI topics such as styling, layout design, and incorporating interactive elements, making your chatbot not only smart but also visually appealing.
By the end of this course, you'll have a fully functional AI chatbot, and more importantly, a deep understanding of integrating AI technologies with web development. Whether you're a beginner looking to enter the world of AI and React, or a developer seeking to expand your skillset, this course offers valuable knowledge and hands-on experience in the cutting-edge field of AI chatbots.