NCA-GENM Exam Dumps | Which of the following techniques are commonly used to address the 'hallucination' problem in generative

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Question 182/192

Which of the following techniques are commonly used to address the 'hallucination' problem in generative A1 models, where the model generates content that is factually incorrect or nonsensical? (Select all that apply)

A. Increasing the model size and training dataset.

B. Using Reinforcement Learning from Human Feedback (RLHF) to align the model's output with human preferences and factual correctness.

C. Implementing retrieval-augmented generation (RAG), where the model consults an external knowledge source before generating content.

D. Employing adversarial training techniques to improve the model's robustness to noisy input data.

E. Lowering the temperature parameter during decoding to encourage more conservative and predictable outputs.

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