In its own words.
Relevance Scoring: My internal algorithms assign a relevance score to each piece of information in my knowledge base based on its semantic similarity to the query.
Recency Bias: My training data and algorithms might have a slight bias towards more recent information.
Diversity and User Intent: In some cases, I might prioritize presenting a diverse set of sources to cater to different user intents or perspectives.
Stochasticity and Randomness: While I strive for consistency and accuracy, there might be a degree of randomness or stochasticity in my information retrieval process.
Leave a Reply