Questions
- What are the key benefits of using tools with LLMs, and why are they important?
- How does LangChain’s ToolMessage class facilitate communication between the LLM and the external environment?
- Explain the ReACT pattern. What are its two main steps? How does it improve LLM performance?
- How would you define a generative AI agent? How does this relate to or differ from LangChain’s definition?
- Explain some advantages and disadvantages of using the with_structured_output method compared to using a controlled generation directly.
- How can you programmatically define a custom tool in LangChain?
- Explain the purpose of the Runnable.bind() and bind_tools() methods in LangChain.
- How does LangChain handle errors that occur during tool execution? What options are available for configuring this behavior?
