LLM Tool Use with LangChain

Extending LLMs with LangChain Tool Integration

Empowering language models to interact with external tools and APIs expands their problem-solving capabilities. This intermediate course focuses on enabling LLMs to execute tasks using LangChain toolkits.

What You Will Study

• Tool Binding: Connect custom tools, utilities, and API functions to LLM interfaces.
• Agentic Execution: Understand how models select and execute appropriate tools based on user inputs.
• Workflow Enhancement: Streamline automated workflows by combining reasoners with action capabilities.

Target Audience

Intermediate Python developers interested in augmenting language models with active tool-calling functionality.