Functions, Tools and Agents with LangChain
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....
By Harrison Chase on Coursera
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.
Topics Covered
Frequently Asked Questions
How much does Functions, Tools and Agents with LangChain cost?
Visit the Functions, Tools and Agents with LangChain course page for current pricing and available discounts.
Who teaches Functions, Tools and Agents with LangChain?
Functions, Tools and Agents with LangChain is taught by Harrison Chase, DeepLearning.AI.
What skill level is Functions, Tools and Agents with LangChain for?
This course is designed for all levels learners.
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