Generative AI: Discussion
Join us as we host a discussion about Generative AI and the amazing things that you can do if you use real time inference with a large language model.
General discussion : Generative AI
During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
General discussion : Generative AI
During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
Making customerized recommendations using ecosystem.Ai. Understanding how to adjust the new knowledge parameters to customerize your recommendations.
During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
Making customerized recommendations using ecosystem.Ai. Understanding how to enrich transaction data to make customerized recommendations.
During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
Making customerized recommendations using ecosystem.Ai. Understanding how to use and adjust the Ecosystem Rewards algorithm to make customerized recommendations
During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
General discussion : Responsible Use of Data and AI Technology
During this session, participants will understand how to use our AI software to create a real-time recommender that delivers personalized recommendations to users based on their behavior and preferences.
Practical applications of Bayesian regression with ecosystem.Ai
Bayesian regression is a statistical method used to estimate the relationship between variables. It uses Bayesian inference, which is a form of statistical inference that relies on probability theory. In Bayesian regression, the relationships between variables are estimated through data rather than through assumptions.