The Challenge of Time and Predictive Relevance, with Generative Models
February 1, 2023 @ 2:00 pm - 3:00 pm UTC
Generative models are a powerful tool for predicting future trends and events.
They can be used to identify patterns in data and make predictions about future outcomes.
However, the challenge of time and predictive relevance with generative models is that they require a large amount of data and computing power to be effective.
Additionally, the accuracy of predictions can be affected by changes in the data over time, making it difficult to accurately predict future outcomes. To overcome these challenges researchers are developing new techniques to improve the accuracy of generative models and make them more predictive.
This presentation will explore the challenge of time and predictive relevance with generative models, and demonstrate how OpenAi can be used in the ecosystem.Ai platform. We will discuss the importance of predictive relevance in today’s world and how generative models can be used in an effective way.
Finally, we will demonstrate how OpenAi can be used in the ecosystem.Ai platform to create powerful and accurate predictive models.
Led by our founder Dr Jay van Zyl, join us on this three part series as we explore the ecosystem.Ai platform and its many embedded functionalities. See how we’ve approached using the OpenAi capabilities to deliver better tools for our users.