[Lecture] From Generic To Genius: Personalize Generative AI
Details
Speaker: Ryan Michael, VP Engineering, Kaskada
Talk Abstract:
Generative AI has already demonstrated immense value, but systems like ChatGPT don’t know anything about who we are as individuals. At Kaskada, we have developed a compute engine to help LLM’s understand who they’re talking to and what they’re talking about. Kaskada does this by augmenting prompts with real-time contextual information and making it easy to recreate the context of past prompts, significantly accelerating the prompt engineering process.
In this talk, we introduce the abstraction that makes this possible: the concept of timelines. Timelines can be interpreted as a history of changes or as snapshots at specific time points. Discover how to:
- Simplify the examination of historical and recent events, integrating well with modern architectures.
- Create histories, snapshots, event-based aggregations, and sequence reasoning with timeline abstractions.
- Enables personalized generative AI agents that adapt to individuals' needs in real-time.
Speaker Bio:
Ryan leads strategy and community development for Kaskada, an open-source project focused on a novel event processing engine that utilizes stream-native query abstractions to simplify time-based reasoning. As Kaskada's VP of Engineering and technology co-creator, Ryan was instrumental in the company's evolution from a SaaS startup to an open-source project, following its acquisition by DataStax earlier this year.
Before Kaskada, Ryan served as a principal engineer at ReturnPath, leading the development of various systems such as distributed data acquisition services, streaming data infrastructure, and production data science platforms. Before his tech career, he dedicated over a decade to architectural project management, earning features in prestigious publications like Dwell and the New York Times.
Register online at: https://us02web.zoom.us/meeting/register/tZAvfu2prTgiE9XAvwB-6DjGHkEZf_1jHITl
7:00-7:05 pm Welcome
7:05-7:50pm Presentation
7:50-8:00 pm Q&A