Questions
Please have a look to see if you can come up with the answers to these questions from memory. I’d recommend you go back to the corresponding sections of this chapter if you are unsure about any of them:
- How can we summarize documents with LLMs?
- What is the chain of density?
- What are LangChain decorators and what’s the LangChain Expression Language?
- What is map-reduce in LangChain?
- How can we count the tokens we are using (and why should we)?
- How is instruction tuning related to function calling and tool usage?
- Give some examples of tools that are available in LangChain.
- Please define two agent paradigms.
- What is Streamlit and why do we want to use it?
- How does automated fact-checking work?
