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.

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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.

What you'll learn

- Learn about the most recent advancements in LLM APIs.

- Use LangChain Expression Language (LCEL).

- Build a conversational agent.

LangChain

LLMs

Large Language Models

Python Programming

ChatGPT

LCEL

LangChain Expression Language

Enroll in course

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Free Course

Coursera

DeepLearning.AI