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Large language models have gained considerable interest for their impressiveperformance on various tasks. Among these models, ChatGPT developed by OpenAIhas become extremely popular among early adopters who even regard it as adisruptive technology in many fields like customer service, education,healthcare, and finance. It is essential to comprehend the opinions of theseinitial users as it can provide valuable insights into the potential strengths,weaknesses, and success or failure of the technology in different areas. Thisresearch examines the responses generated by ChatGPT from differentConversational QA corpora. The study employed BERT similarity scores to comparethese responses with correct answers and obtain Natural Language Inference(NLI)labels. Evaluation scores were also computed and compared to determine theoverall performance of GPT-3 \& GPT-4. Additionally, the study identifiedinstances where ChatGPT provided incorrect answers to questions, providinginsights into areas where the model may be prone to error.

ChatGPT-Crawler: Find out if ChatGPT really knows what it's talking about