[Solved] Which of the following correctly demonstrates defining an abstract model class in Langchain? — Ans: class AbstractModel: def generate(self, prompt): raise NotImplementedError | LangChain

LangChain - LLM and Chat Model Integration

Which of the following correctly demonstrates defining an abstract model class in Langchain?

Aclass AbstractModel: def generate(self, prompt): return 'default output'

Bclass AbstractModel: def generate(self, prompt): raise NotImplementedError

Cclass AbstractModel: def generate(): pass

Dclass AbstractModel: def generate(self): print('Generating')

Step-by-Step Solution

Solution:

Step 1: Identify abstract method
An abstract method should raise NotImplementedError to enforce implementation in subclasses.
Step 2: Check method signature
The method must accept 'self' and 'prompt' parameters.
Final Answer:
class AbstractModel: def generate(self, prompt): raise NotImplementedError -> Option B
Quick Check:
Ensure method raises NotImplementedError and has correct parameters [OK]

Quick Trick: Abstract methods raise NotImplementedError [OK]

Common Mistakes:

Master "LLM and Chat Model Integration" in LangChain

9 interactive learning modes - each teaches the same concept differently

More LangChain Quizzes

Which of the following correctly demonstrates defining an abstract model class in Langchain?