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What We Learned from 150 Successful ML-enabled Products at Booking.com.
Posted Jul 12, 2021 | Views 502
# Machine Learning
# ML Products
# Booking.com
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speakers
Pablo Estevez
Principal Machine Learning Scientist @ Booking.com
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Demetrios Brinkmann
Chief Happiness Engineer @ MLOps Community
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Vishnu Rachakonda
Data Scientist @ Firsthand
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SUMMARY
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MLOps EngineeringLabs: What We Learned Building End-to-end ML Applications on Flyte / How Flyte Orchestrates Tasks and Workflows
Posted Apr 27, 2022 | Views 874
# Product Development
# MLOps EngineeringLabs
# Flyte
# Union
# union.ai
# artefact.com
# Reply.com
# hurb.com
What Business Stakeholders Want to See from the ML Teams
Posted Apr 02, 2024 | Views 1.2K
# ML Teams
# Business Stakeholders
# Tabnine
# Tabnine.com
You Can’t Improve What You Don’t Measure — Evaluating Quality and Improving LLM Products at Scale
Posted Mar 11, 2024 | Views 460
# Evaluation
# LLM
# Slack