CourseFlix

Responsive LLM Applications with Server-Sent Events

1h 18m 18s
English
Paid

Unlock the potential of Large Language Models (LLM) by integrating them into user interfaces with real-time data streaming. In this comprehensive course, discover how to seamlessly embed LLM APIs into your applications, creating AI interfaces for streaming text and chats using TypeScript, React, and Python. Develop a fully functional AI application step by step, focusing on high-quality code and flexible implementation.

What You'll Learn

Course Highlights

As part of the course, you will undertake the creation of an LLM application that includes:

  • Autocompletion Scenario: Transform English text into emoji.
  • Chat Functionality: Implement real-time chat interfaces.
  • Retrieval Augmented Generation: Enhance text generation with data retrieval.
  • AI Agent Scenarios: Explore code execution and data analysis agents.

Benefits of the Course

This application serves as a valuable starting point for various projects, allowing you to save time and effortlessly integrate new tools as needed. Its flexibility makes it adaptable to ever-evolving technological demands.

Outcomes

By the end of the course, you will have mastered the end-to-end implementation of a flexible and high-quality LLM application. Moreover, you will acquire the knowledge and skills necessary to create complex solutions based on LLM, setting a solid foundation for future AI projects.

About the Author: Fullstack.io

Fullstack.io thumbnail

Fullstack.io is the technical book and course publisher founded by Nate Murray, Ari Lerner, and team — known for the ng-book Angular series, the React Quickly books, and the fullstack React series that anchored a generation of working developers' first deep-dive into modern JavaScript framework material. Fullstack.io has since rebranded to Newline for its newer course catalog.

The book / course catalog covers the modern JavaScript framework landscape — Angular, React, Vue, GraphQL, Node.js — at the level of comprehensive reference works rather than introductory tutorials. The Fullstack.io style is unusually rigorous about the underlying APIs and edge cases that ship projects to production.

The CourseFlix listing under this source carries over 20 Fullstack.io / Newline courses spanning that range. Material is paid; the original platform sold both per-course access and membership tiers. Courses are aimed at developers ready to move past introductory tutorials into the depth of a chosen framework.

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#1: Introduction to AI Product Development
All Course Lessons (20)
#Lesson TitleDurationAccess
1
Introduction to AI Product Development Demo
03:48
2
Picking the stack - Navigating JavaScript and Python
06:10
3
Designing a Hybrid Web Application Architecture with JavaScript and Python
05:08
4
Streaming events with Server-Sent Events and WebSockets
06:31
5
Discovering the OpenAI Completion API
06:30
6
Handling Server-Sent Events with JavaScript
06:14
7
Building the useCompletion hook
07:01
8
Rendering Completion Output
01:26
9
Mocking Streams
03:29
10
Testing the useCompletion hook
03:11
11
Creating a FastAPI server
01:55
12
Exploring asynchronous programming in Python
03:42
13
Integrating Langchain with FastAPI for Asynchronous Streaming
04:34
14
Testing with PyTest and LangChain
01:02
15
Building the useChat hook
05:12
16
Building the User Interface
01:53
17
Discovering Retrieval Augmented Generation
03:19
18
Building a Semantic Search Engine with Chroma
03:37
19
Adding Retrieval-Augmented Generation to the chat
02:14
20
Final words
01:22
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Course content

20 lessons · 1h 18m 18s
Show all 20 lessons
  1. 1 Introduction to AI Product Development 03:48
  2. 2 Picking the stack - Navigating JavaScript and Python 06:10
  3. 3 Designing a Hybrid Web Application Architecture with JavaScript and Python 05:08
  4. 4 Streaming events with Server-Sent Events and WebSockets 06:31
  5. 5 Discovering the OpenAI Completion API 06:30
  6. 6 Handling Server-Sent Events with JavaScript 06:14
  7. 7 Building the useCompletion hook 07:01
  8. 8 Rendering Completion Output 01:26
  9. 9 Mocking Streams 03:29
  10. 10 Testing the useCompletion hook 03:11
  11. 11 Creating a FastAPI server 01:55
  12. 12 Exploring asynchronous programming in Python 03:42
  13. 13 Integrating Langchain with FastAPI for Asynchronous Streaming 04:34
  14. 14 Testing with PyTest and LangChain 01:02
  15. 15 Building the useChat hook 05:12
  16. 16 Building the User Interface 01:53
  17. 17 Discovering Retrieval Augmented Generation 03:19
  18. 18 Building a Semantic Search Engine with Chroma 03:37
  19. 19 Adding Retrieval-Augmented Generation to the chat 02:14
  20. 20 Final words 01:22

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Frequently asked questions

What is Responsive LLM Applications with Server-Sent Events about?
Unlock the potential of Large Language Models (LLM) by integrating them into user interfaces with real-time data streaming. In this comprehensive course, discover how to seamlessly embed LLM APIs into your applications, creating AI…
Who teaches Responsive LLM Applications with Server-Sent Events?
Responsive LLM Applications with Server-Sent Events is taught by Fullstack.io. You can find more courses by this instructor on the corresponding source page.
How long is Responsive LLM Applications with Server-Sent Events?
Responsive LLM Applications with Server-Sent Events contains 20 lessons with a total runtime of 1 hour 18 minutes. All lessons are available to watch online at your own pace.
Is Responsive LLM Applications with Server-Sent Events free to watch?
Responsive LLM Applications with Server-Sent Events is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch Responsive LLM Applications with Server-Sent Events online?
Responsive LLM Applications with Server-Sent Events is available to watch online on CourseFlix at https://courseflix.net/course/responsive-llm-applications-with-server-sent-events. The page hosts every lesson with the integrated video player; no download is required.