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:
- GPT first generates multiple responses based on the input data, taking into account various possible interpretations and perspectives.
- It then ranks these responses using a combination of context analysis, coherence assessment, and relevance scoring.
- 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.
- This approach enables GPT to handle contradictory or conflicting information effectively, providing users with more accurate and contextually relevant responses.