Overview
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Explore the intersection of streaming data and generative AI in this 49-minute webinar from the Linux Foundation. Dive into the dynamic relationship between real-time data sources and creative AI systems, uncovering how continuous data streams enable AI algorithms to adapt and respond to evolving patterns. Learn about various applications of streaming data in generative AI, techniques for training and refining generative models, and the challenges of processing high-volume, real-time data. Discover the composition of generative AI systems, explore fine-tuning techniques for large language models, and understand the art of prompt engineering. Gain insights into advanced data analysis, AI-assisted marketing, hyper-personalization, and content generation for gaming. Sponsored by Redpanda, this webinar offers a comprehensive look at the infinite possibilities unlocked by combining streaming data with generative AI technologies.
Syllabus
Intro
About me
What is generative Al?
Generative Al composition What ML models make up the Generative AI?
Ecosystem
Limitations/concerns
Fine-tuning LLMs
Providing context to an LLM prompt
What is Prompt Engineering?
Example
How do we provide context?
Challenges of context injection into a prompt
Poll Question
What is Streaming Data? What is a stream?
Events
About Redpanda
Benefits
Advanced Data Analysis
Al-assisted marketing
Hyper-personalization
Data augmentation/imputation
Gaming content generation
Summary What can we take home?
Taught by
Linux Foundation