Supercharging Recommendation Systems With Generative AI & Real-Time Context

Join Tecton Travel (our fictitious travel company) as it builds an enhanced recommendation system with Generative AI to increase bookings on its website. 

In this webinar, you'll see how easy it is to generate context-rich prompts with features derived from batch, streaming, and real-time data using Tecton’s AI-optimized compute engine, Rift. By using Generative AI with a recommendation system, teams can deliver personalized recommendations to users at scale and increase overall conversion rate.

What we'll see:

• Feature pipelines in Python: Leverage Python and Pandas to build scalable online and offline feature pipelines with batch, streaming, and real-time data.
• Leverage third-party data: Connect to third-party APIs to pull in additional feature data.
• Prompting with context: How to combine online features with your prompt to get desired outputs from a large language model (LLM).
• Explainability: We'll leverage an LLM's ability to explain its decision process to better understand how different features impacted the final output.