Functions, Tools and Agents with LangChain
Instructor: Harrison Chase
- Intermediate
- 1 Hour 44 Minutes
- 8 Video Lessons
- 6 Code Examples
- Instructor: Harrison Chase
What you'll learn
Learn about the most recent advancements in LLM APIs.
Use LangChain Expression Language (LCEL), a new syntax to compose and customize chains and agents faster.
Apply these new capabilities by building up a conversational agent.
About this course
The landscape of LLMs and the libraries that support them has evolved rapidly in recent months. This course is designed to keep you ahead of these changes.
You’ll explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.
After taking this course, you’ll know how to:
- Generate structured output, including function calls, using LLMs;
- Use LCEL, which simplifies the customization of chains and agents, to build applications;
- Apply function calling to tasks like tagging and data extraction;
- Understand tool selection and routing using LangChain tools and LLM function calling – and much more.
Start applying these new capabilities to build and improve your applications today.
Who should join?
Anyone who’s interested in learning about the latest tools to build LLM-based applications. Basic Python knowledge and a familiarity with writing prompts for LLMs is recommended.
Course Outline
8 Lessons・6 Code ExamplesIntroduction
Video・2 mins
OpenAI Function Calling
Video with code examples・13 mins
LangChain Expression Language (LCEL)
Video with code examples・16 mins
OpenAI Function Calling in LangChain
Video with code examples・12 mins
Tagging and Extraction
Video with code examples・24 mins
Tools and Routing
Video with code examples・17 mins
Conversational Agent
Video with code examples・16 mins
Conclusion
Video・1 min
Instructor
Harrison Chase
Co-Founder and CEO of LangChain
Functions, Tools and Agents with LangChain
- Intermediate
- 1 Hour 44 Minutes
- 8 Video Lessons
- 6 Code Examples
- Instructor: Harrison Chase
Course access is free for a limited time during the DeepLearning.AI learning platform beta!
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