Webinar: HOPSWORKS | Date: Wednesday, November 29th 2023 Abstract Monitoring features for ML models is something that generally is overlooked when monitoring models in production.

Event: MEETUP | Date: Wednesday, November 29th 2023 Abstract Retrieval-augmented generation (RAG) for large language models (LLMs) aims to improve prediction quality by using an external datastore at inference time to build a richer prompt that includes some combination of context, history, and recent/relevant knowledge.

Event: WEBINAR | Date: Tuesday, June 22th 2021 Abstract Turn predictions logs into valuable information that improves models over time.

Authors: Davit Bzhalava, Javier de la Rúa Martínez Full disclosure: Javier de la Rúa Martínez from Logical Clocks presented a talk at the summit.

Event: DATA+AI SUMMIT 2021 | Date: Wednesday, May 26th 2021 Track: Open Source Data and ML Tools