Experimenter Bias
A bias that occurs when researchers' expectations influence the outcome of a study.
A bias that occurs when researchers' expectations influence the outcome of a study.
Specific and less common keyword phrases that visitors are more likely to use when they are closer to making a purchase or when using voice search.
A statistical distribution where most occurrences take place near the mean, and fewer occurrences happen as you move further from the mean, forming a bell curve.
The process of assigning target keywords to specific pages on a website to optimize each page for relevant search terms and improve overall SEO strategy.
The process of designing and refining prompts to elicit accurate and relevant responses from AI models.
A method in natural language processing where multiple prompts are linked to generate more complex and contextually accurate responses.
The percentage of leads that convert into customers.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models.