Introduction to AI Orchestration with LangChain and LlamaIndex

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M. Joel Dubinko

1:27:34

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01 - Introduction

01 - Building local AI apps with LangChain and LlamaIndex.mp4

00:54

02 - What you should know.mp4

01:19

03 - Setting up your environment for building AI apps.mp4

01:23

02 - 1. Use AI Orchestration to Build Your First App

01 - AI orchestration concepts.mp4

03:03

02 - Building an app with the OpenAI API.mp4

04:33

03 - Running local LLMs.mp4

08:54

04 - Your first LangChain app.mp4

03:26

05 - Your first LlamaIndex app.mp4

04:22

06 - Debugging AI apps.mp4

04:03

03 - 2. Combine LLMs and Indexes to Query Local Documents

01 - AI over local documents Retrieval-augmented generation.mp4

05:14

02 - Choosing an embedding.mp4

03:56

03 - RAG with LlamaIndex.mp4

05:00

04 - RAG with LangChain.mp4

04:29

05 - Challenge Document summarization.mp4

02:39

06 - Solution Document summarization.mp4

01:26

04 - 3. Assemble Multi-Step AI Workflows with Chaining

01 - App concepts for chaining and more complex workflows.mp4

03:23

02 - Getting JSON out of the LLM.mp4

06:21

03 - LLM function calling.mp4

05:25

04 - Challenge Local LLM task offloading.mp4

02:53

05 - Solution Local LLM task offloading.mp4

01:36

05 - 4. Let the AI Decide What to Do Next Building Agents

01 - Introduction to the ReAct agent framework.mp4

03:41

02 - Implementing a ReAct agent.mp4

05:04

03 - Challenge LangChain and LlamaIndex strengths and weaknesses.mp4

01:07

04 - Solution LangChain and LlamaIndex strengths and weaknesses.mp4

01:03

06 - Conclusion

01 - Next steps for AI app engineers.mp4

02:20

Description

Are you ready to dive into the world of AI applications? This course was designed for you. AI orchestration frameworks let you step back from the details of artificial intelligence tools and APIs and instead focus on building more general, effective systems that solve real-world problems. Join instructor M.Joel Dubinko as he explores the business benefits of AI orchestration—faster development, smarter interfaces, lower costs, and more. This course provides an overview of AI fundamentals and key capabilities, like accessing external tools and databases, with a special focus on exploring local models running on your own hardware, alongside or instead of cloud services like those from OpenAI. Every step of the way, Joel offers hands-on demonstrations of two industry-leading frameworks: LangChain and LlamaIndex. By the end of this course, you’ll be prepared to start building chatbots, intelligent agents, and other useful tools, while monitoring for errors and troubleshooting as you go.

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Artificial Intelligence

M. Joel Dubinko

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