Houston Machine Learning

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This complimentary event brings together senior leaders, technologists, and innovators from across the energy and utilities industry to explore how AWS is helping leading companies harness agentic AI and cloud technologies to transform operations from subsurface to grid edge and accelerate growth.

Experience a curated program of keynotes, customer success stories, and technical sessions — all designed to deliver actionable insights on the strategic priorities shaping our industry: AI-driven grid modernization, IT/OT convergence, asset performance optimization, energy transition enablement, security and compliance in regulated environments, and more.
Connect with peers who are partnering with AWS to accelerate digital transformation, modernize aging infrastructure, enhance grid resilience, and build sustainable, future-ready energy organizations today.

Agenda can be found here

In this technical meetup, we will unpack Netflix’s GenRec: Towards LLM-Native Recommendation at Netflix, a report on an LLM-backed recommendation ranker designed for large-scale personalization. The session examines how Netflix verbalizes member history, item metadata, and request context; post-trains a Netflix-adapted foundation model for ranking; constrains outputs to in-catalog titles; and designs inference around real serving-cost constraints.

GenRec presents a disciplined production pattern: context engineering, catalog-aware scoring, reward-weighted alignment, and prefill-only serving. Netflix reports that GenRec improved on a mature production ranker in both offline evaluation and a large online experiment while using substantially fewer labeled examples and input signals.

Slides for past meetups posted: Github
Recordings posted at: YanAITalk
Feel free to reach out if you want to present at upcoming meetups!

Note: You must have a Zoom account to login (free account is sufficient). Zoom Link will be posted to the event page one day before the meetup.