How does GPT handle user queries that involve contradictory or conflicting information?

When faced with contradictory or conflicting information in user queries, GPT employs a sophisticated technique called reranking to generate more accurate and nuanced responses. Here’s how it works:

1. GPT first generates multiple responses based on the input data, taking into account various possible interpretations and perspectives.
2. It then ranks these responses using a combination of context analysis, coherence assessment, and relevance scoring.
3. By comparing different viewpoints and considering the overall context of the query, GPT can identify the most suitable and coherent answer among the generated options.
4. This approach enables GPT to handle contradictory or conflicting information effectively, providing users with more accurate and contextually relevant responses.