An explanation of how internal algorithms use relevance scoring, recency bias, user intent, and stochasticity to retrieve and present information.
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.
Dan Petrovic ·
Aug 26, 21:00
