Databricks - Delivering Personalized & Realtime Context for LLM - FS Summit 23
Aakrati is an ML/AI Engineer working on building the Feature Store for the ML Platform at Databricks. Prior to Databricks, she has worked on distributed systems and ML Infrastructure at Google.
Mingyang Ge is an ML/AI Engineer working on building the Feature Store for the ML Platform at Databricks. Before Databricks, he worked Conversational Platform at Google Assistant.
In their talk, they show how to harness Databricks Feature and Function Serving powered by data in your Lakehouse to provide real-time context ingestion and retrieval for your LLMs, thus improving accuracy and relevance in Natural Language Processing applications.
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