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Automated Fact-Checking for Customer Support
A company wants to build an automated system to verify that answers provided by its support agents are correct according to an internal knowledge base. The system will be given a customer's question and the agent's proposed answer. Describe how you would format this question-and-answer pair as a single input for a model, and explain what the model's final output should be to solve this verification task.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Application in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Automated Fact-Checking for Customer Support
A machine learning engineer is fine-tuning a transformer-based model to determine if a given answer is a valid response to a specific question. The model has been pre-trained and uses special tokens for classification tasks. Which of the following input formats should the engineer use to correctly structure the data for this task?
A language model is fine-tuned for a task where it must determine if a given answer is a valid response to a question. The model is trained on a large dataset of direct question-answer pairs (e.g., Q: 'Who wrote Hamlet?', A: 'William Shakespeare'). When tested, the model correctly identifies direct answers but incorrectly classifies the following pair as a 'poor match':
- Question: 'What is the primary cause of tides?'
- Answer: 'The primary cause of tides is not wind patterns.'
What is the most likely reason for this misclassification?