2024 New Langchain Big Model AI Application and Multi Agent Practical Development [69 class hours in total]

Old Chen code Intermediate lecturer Lecturer rating five student twelve thousand one hundred and thirty-seven curriculum two

Ten years of development experience, five years of teaching experience, systematic python courses, front-end courses, WEB3D visualization courses, artificial intelligence courses, and tens of millions of teaching videos broadcast throughout the network. Broad range, full stack development, Python, front-end, AI. The lecture features humor and humor. With

Course Introduction
Course outline

Suitable for:

AI application developers, Langchain learners, private knowledge base builders, Python enthusiasts

You will learn:

Langchain develops private knowledge base question and answer system, business agent agent and AI customer service system from zero

Course introduction:

This year, the Ai development technology that developers must master comes. The course comprehensively and systematically introduces AI application development frameworks Langchain and LangGraph, which help everyone integrate AI into business, realize automatic execution of business processes by various agents, and cooperate with multi-agent to process business.

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Course outline- 2024 new Langchain big model AI application and multi-agent actual combat development

Chapter 1 Getting Started with Langchain (1 hour 17 minutes Section 7)
1-1
Get to know Langchain quickly
[15:56] Start learning
1-2
Basic structure of chain _ hint _ model _ output parser
[09:20] Start learning
1-3
Free and unlimited Baidu Wenxin Yiyan Langchain interface application Free and unlimited Baidu Wenxin Yiyan Langchain interface application
[06:45] Start learning
1-4
Langchain fast access to domestic GPT4 big model Deepse Langchain fast access to domestic GPT4 models DeepseekV2 and ChatGLM4
[07:34] Start learning
1-5
Langchain access to chatglm4, the most powerful model in China
"Only for paying users" Click to download "Course code data online disk address. txt"
[18:43] Start learning
1-6
Langchain calls the local open source model ChatGLM3
[10:47] Start learning
1-7
Langchain accesses the openai like server of the open source model
[08:46] Start learning
Chapter 2 Langchain Prompt Word Project (1 hour 17 minutes 6 sections)
2-1
Langchain Prompt Word Module and Historical Dialogue
[11:15] Start learning
2-2
Different case selector application_length selector_similarity selector_overlapping selector
[21:06] Start learning
2-3
ChromaDB vector database for question idea matching to improve the accuracy of answers
[15:18] Start learning
2-4
Dialogue form prompt word project
[10:42] Start learning
2-5
The template in the prompt word template solves complex chat conversation
[11:19] Start learning
2-6
Langchain pipeline prompt word template application
[07:21] Start learning
Chapter 3 Langchain Large Model Output Analysis (39 minutes 5 sections)
3-1
Langchain cache accelerates application response
[06:51] Start learning
3-2
Parse output csv_time_enumerate content
[11:03] Start learning
3-3
Langchain output JSON format and fix error output of large model
[09:51] Start learning
3-4
XML output format of langchain parsing large model
[05:11] Start learning
3-5
How to customize the output parser of a large model
[06:04] Start learning
Chapter 4 Proficient in Langchain data retrieval to enhance RAG (2 hours and 9 minutes Section 11)
4-1
RAG data retrieval enhancement
[09:29] Start learning
4-2
Loading Knowledge Base Documents and Retrieval Algorithm Settings
[15:34] Start learning

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Other courses of the teacher "Lao Chen Da Ma" more +

[Development must see] Open source framework for AI application development LangChain series courses
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