Responsive LLM Applications with Server-Sent Events

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478.16 MB | 00:07:00 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 Introduction to AI Product Development (7.26 MB)
10 Testing the useCompletion hook (7.22 MB)
11 Creating a FastAPI server (4.03 MB)
12 Exploring asynchronous programming in Python (6.43 MB)
13 Integrating Langchain with FastAPI for Asynchronous Streaming (8.28 MB)
14 Testing with PyTest and LangChain (1.72 MB)
15 Building the useChat hook (13.76 MB)
16 Building the User Interface (5.96 MB)
17 Discovering Retrieval Augmented Generation (6.59 MB)
18 Building a Semantic Search Engine with Chroma (9.75 MB)
19 Adding Retrieval-Augmented Generation to the chat (5.04 MB)
2 Picking the stack - Navigating JavaScript and Python (14.25 MB)
20 Final words (4.16 MB)
3 Designing a Hybrid Web Application Architecture with JavaScript and Python (10.05 MB)
4 Streaming events with Server-Sent Events and WebSockets (14.13 MB)
5 Discovering the OpenAI Completion API (12.71 MB)
6 Handling Server-Sent Events with JavaScript (14.2 MB)
7 Building the useCompletion hook (14.47 MB)
8 Rendering Completion Output (3.11 MB)
9 Mocking Streams (7.94 MB)
utils (169 B)
setup (362 B)
vite-env d (38 B)
vite config (544 B)
utils (169 B)
setup (362 B)
vite-env d (38 B)
vite config (544 B)
utils (169 B)
setup (362 B)
vite-env d (38 B)
vite config (544 B)
utils (169 B)
setup (362 B)
vite-env d (38 B)
vite config (544 B)
utils (169 B)
setup (362 B)
vite-env d (38 B)
vite config (544 B)]
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