Bird
0
0

What is the main purpose of LangSmith evaluators in LangChain?

easy📝 Conceptual Q11 of 15
LangChain - Evaluation and Testing
What is the main purpose of LangSmith evaluators in LangChain?
ATo check how good AI outputs are by comparing predictions to references
BTo train new AI models from scratch
CTo store large datasets for AI training
DTo create user interfaces for AI applications
Step-by-Step Solution
Solution:

  1. Step 1: Understand the role of evaluators

    LangSmith evaluators are designed to assess AI outputs by comparing them with expected answers.

  2. Step 2: Identify the correct purpose

    They do not train models, store data, or build interfaces but focus on evaluation.

  3. Final Answer:

    To check how good AI outputs are by comparing predictions to references -> Option A

  4. Quick Check:

    Evaluator purpose = Checking AI output quality [OK]
Quick Trick: Evaluators compare AI answers to references to check quality [OK]
Common Mistakes:
MISTAKES
  • Confusing evaluators with training tools
  • Thinking evaluators store data
  • Assuming evaluators build UI

Want More Practice?

15+ quiz questions · All difficulty levels · Free

Free Signup - Practice All Questions
More LangChain Quizzes
Evaluation and Testing - Custom evaluation metrics - Quiz 5medium Evaluation and Testing - Regression testing for chains - Quiz 14medium Evaluation and Testing - Automated evaluation pipelines - Quiz 7medium Evaluation and Testing - Why evaluation prevents production failures - Quiz 10hard LangChain Agents - Structured chat agent - Quiz 4medium LangGraph for Stateful Agents - State schema definition - Quiz 7medium LangGraph for Stateful Agents - State schema definition - Quiz 13medium LangGraph for Stateful Agents - Multi-agent graphs - Quiz 11easy LangGraph for Stateful Agents - Conditional routing in graphs - Quiz 8hard LangSmith Observability - Viewing trace details and latency - Quiz 6medium