| 0 | 456.3 KB | ||
| 1. Completion Api route.mp4 | 36.5 MB | ||
| 1. Github repo.mp4 | 68.6 MB | ||
| 1. Init Project.mp4 | 27.3 MB | ||
| 1. Init lowDb.mp4 | 91.4 MB | ||
| 1. Introduction.mp4 | 36.4 MB | ||
| 1. OpenAI Account + Api keys.mp4 | 72.5 MB | ||
| 1. React markdown.mp4 | 43.1 MB | ||
| 1. Retrieve user in Post endpoint.mp4 | 43.6 MB | ||
| 1. Session keys.mp4 | 54.6 MB | ||
| 1. Stack Page.mp4 | 62.8 MB | ||
| 1 | 127.2 KB | ||
| 1.1 Code.html | 102.4 B | ||
| 1.2 Complete Project.html | 102.4 B | ||
| 10. Code Exercise.html | 204.8 B | ||
| 10. Code exercise.html | 204.8 B | ||
| 11. Quiz.html | 204.8 B | ||
| 2. Adds header.mp4 | 53.2 MB | ||
| 2. Code highlight.mp4 | 132.2 MB | ||
| 2. Completion API.mp4 | 133.9 MB | ||
| 2. Deploy app to vercel.mp4 | 41.4 MB | ||
| 2. Fetch user client side.mp4 | 48.1 MB | ||
| 2. Send data to Api.mp4 | 75.9 MB | ||
| 2. Set active session.mp4 | 31.2 MB | ||
| 2. Tailwind init.mp4 | 62.7 MB | ||
| 2. What to expect from the course.mp4 | 48.4 MB | ||
| 2 | 779.4 KB | ||
| 2. Cache DB.mp4 | 43.9 MB | ||
| 2.1 Code.html | 102.4 B | ||
| 3. Center content.mp4 | 39.3 MB | ||
| 3. ChatGPT Params.mp4 | 164.4 MB | ||
| 3. Get response from request.mp4 | 42.4 MB | ||
| 3. How to resolve issues or skip lecture.mp4 | 74.1 MB | ||
| 3. Message layout.mp4 | 89.3 MB | ||
| 3. Move fetch user to hook.mp4 | 34.2 MB | ||
| 3. Store in-memory & Course Finish.mp4 | 54.8 MB | ||
| 3. Store message history.mp4 | 87.1 MB | ||
| 3 | 635.6 KB | ||
| 3. Code cleanup.mp4 | 44.2 MB | ||
| 3. Init iron sessions.mp4 | 73.7 MB | ||
| 3.1 Code.html | 102.4 B | ||
| 4. Add ai message.mp4 | 47.7 MB | ||
| 4. Api endpoint to store session.mp4 | 40 MB | ||
| 4. Debug config.mp4 | 43 MB | ||
| 4. Display uid in ui.mp4 | 10.2 MB | ||
| 4. Json data and assets.mp4 | 46.7 MB | ||
| 4 | 729.9 KB | ||
| 4. Save data to DB.mp4 | 69 MB | ||
| 4. Textarea for prompt.mp4 | 31.8 MB | ||
| 4. Use Effect Fix.mp4 | 16 MB | ||
| 4.1 Code.html | 102.4 B | ||
| 4.2 Logos.zip | 183.4 KB | ||
| 5. Feed history to chatGPT.mp4 | 49 MB | ||
| 5. Fix typewriter styles.mp4 | 26.3 MB | ||
| 5. Move code to components.mp4 | 63.5 MB | ||
| 5. Render Stacks.mp4 | 72.4 MB | ||
| 5. Storing user in session.mp4 | 65.4 MB | ||
| 5. Typewriter effect.mp4 | 47.9 MB | ||
| 5 | 944.8 KB | ||
| 5. Make better prompt.mp4 | 71 MB | ||
| 5. Set active session on reload.mp4 | 15.2 MB | ||
| 5.1 Code.html | 102.4 B | ||
| 6. Blinking cursor.mp4 | 35.4 MB | ||
| 6. Border hover classes.mp4 | 40.2 MB | ||
| 6 | 616.1 KB | ||
| 6. Code exercise.html | 204.8 B | ||
| 6. Different classes for messages.mp4 | 56.2 MB | ||
| 6. Hardcode response.mp4 | 51.7 MB | ||
| 6. Message history memory size.mp4 | 61.4 MB | ||
| 6. Quiz.html | 204.8 B | ||
| 6. Select default session.mp4 | 24.3 MB | ||
| 6.1 Code.html | 102.4 B | ||
| 7. Clear history on chat enter.mp4 | 86.4 MB | ||
| 7. Code Exercise.html | 204.8 B | ||
| 7. Disable typewriter.mp4 | 25.3 MB | ||
| 7. Handle prompt value.mp4 | 62 MB | ||
| 7. Quiz.html | 204.8 B | ||
| 7.1 Code.html | 102.4 B | ||
| 8. Add messages.mp4 | 52.1 MB | ||
| 8. Code exercise.html | 204.8 B | ||
| 8. Different bots.mp4 | 70.7 MB | ||
| 8. Quiz.html | 204.8 B | ||
| 8.1 Code.html | 102.4 B | ||
| 9. Handle case when no messages.mp4 | 16.7 MB | ||
| 9. Quiz.html | 204.8 B | ||
| 9. Scroll to bottom.mp4 | 33.3 MB | ||
| 9.1 Code.html | 102.4 B | ||
| TutsNode.net.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
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Description
What is Next.js?
Next.js is a React-based framework that provides infrastructure and simple development experience for server-side rendered(SSR) & static page applications.
An intuitive page-based routing system (with support for dynamic routes)
Pre-rendering, both static generation (SSG) and server-side rendering (SSR), are supported on a per-page basis.
What is ChatGPT?
ChatGPT is a powerful AI language model created by OpenAI that can understand and respond to text inputs like a human. It has been trained on vast amounts of text data, making it a versatile tool for various language-based applications.
What are you going to work on?
Throughout the course, you will gain experience developing a Next JS application from the ground up. Additionally, you’ll receive instruction on integrating OpenAI’s ChatGPT to create a chatbot application that enables users to ask the AI any questions about a specific technology stack, such as a library, framework, or programming language that will be taught in the course. The ultimate goal of the course is to equip you with the skills necessary to create a functional chatbot app.
A big portion of the course is preparing the application layout, improving user experience, and getting everything together from scratch. Every part of the course is skippable, with the option to download the version of the project from any stage of the course.
The course covers a text completion from OpenAI, mostly used for Chatbots. The course doesn’t focus on covering every topic of chatGPT but rather provides a practical development guide on how to integrate the ai model into the Next JS application.
The course can be briefly summarized in these points:
Layout preparation – Several lectures are provided to prepare the application layout, with everything built from scratch. Each lecture is optional and can be skipped.
Components – Code parts are organized into components for better management.
API Route -An API route is established to handle user queries and provide ChatGPT’s response.
ChatGPT – ChatGPT is initially integrated with a simple setup.
ChatGPT parameters – The parameters that influence AI decisions are explained.
Markdown – The response generated by ChatGPT is formatted in Markdown.
Sessions – Although the course doesn’t cover authentication, different user scenarios are simulated using sessions/cookies.
In-memory DB – The application uses lowDB as an in-memory database for data storage.
AI memory – Chat history is stored in an in-memory database, enabling the AI model to access more context.
Personalize AI – Each chatbot has a unique personality and specific knowledge of a framework.
Deployment – The application will be deployed on Vercel.
While working on the features above, the students will learn and understand ChatGPT features and parameters. They will know how to architecture applications and will be able to create their applications with Next JS and ChatGPT integration.
Who this course is for:
Anybody interested in how to integrate ChatGPT AI model into Web App
People looking for a practical development guide
This course is for everyone eager to understand how to build an app from scratch
Requirements
Base knowledge of Next JS or React JS
Last Updated 4/2023
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 299.1 MB | freecoursewb | 2 months | 1 | 2 | |
| 3.1 GB | freecoursewb | 4 months | 8 | 9 | |
| 1.8 GB | freecoursewb | 4 months | 7 | 3 | |
| 1.6 GB | freecoursewb | 5 months | 3 | 1 | |
| 3.4 GB | freecoursewb | 6 months | 9 | 0 |
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