LinkedIn x SGLang: Discover the Future of LLMs for Search and Recommendation
🚀 LinkedIn x SGLang: Discover the Future of LLMs for Search and Recommendation
Join us for an evening of deep technical insights into how large-scale LLM systems are built, optimized, and deployed in real-world production environments.
This meetup brings together engineers/leaders from LinkedIn, SGLang, TikTok, Meta, SNAP, NVIDIA and more to share practical lessons from running inference at scale — covering modeling optimizations, distributed serving, ranking systems, semantic search, and open-source collaboration.
If you care about:
⚡ High-performance inference
🧠 LLM-based ranking & search
🔬 Modeling + systems co-optimization
🌐 Open-source infra at production scale
This event is for you.
📍 In-Person Event (Mountain View)
This is an in-person event hosted at LinkedIn’s Mountain View campus.
Please register only if you’re able to attend in person, as capacity is limited and we expect a full room.
🗓 Agenda
5:00 PM – Doors Open & Networking
5:30 PM – Welcome
5:40 PM – LinkedIn LLM Recsys Deep Dive
6:30 PM – SGLang Roadmap & RL Framework Keynote
7:10 PM – Break
7:20 PM – Industry Talks (TikTok, Meta, NVIDIA)
8:15 PM – Guest Panel & Open Q&A
9:00 PM – Networking & Socializing
🎤 Featured Talks
🔵 LinkedIn Production Deep Dive
Engineering talks on LLM RecSys at LinkedIn:
Semantic Search at scale
Modeling optimizations for ranking
LLM inference infrastructure optimizations
🟣 SGLang Roadmap & RL Framework
H1 Roadmap and future direction
Reinforcement Learning framework updates
🟡 Industry Talks
TikTok LLM Recsys Talk
Meta Generative Reasoning Reranker
NVIDIA