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With Charles Frye (AI Enggr, Modal Labs), Amog Kamsetty (ex-Founding ML Enggr, Anyscale), Bin Fan (Alluxio), Michael Ryaboy (Dev Advocate, KDB AI).
Thu, Sep 19, 2024 @ 05:45 PM   FREE   Marigold, 194 Church St
 
   
 
 
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EVENT DETAILS
Join us for an evening of technical deep dives & practical insights into the challenges of deploying AI systems at scale. This meetup brings together engineers & researchers who are pushing the boundaries of what's possible with embeddings, large language models, & distributed AI infrastructure.nnThis is the first of a monthly series by crackedsf.com.nnFeatured TalksnEmbedding Spaces at Scale: Lessons from ProductionBy Charles Frye, AI Engineer @ Modal LabsnOptimizing LLM Workloads: Insights from RayBy Amog Kamsetty, ex-Founding ML Engineer @ AnyscalenBuilding Efficient Caches for ML Training DataBy Bin Fan, Founding Member @ AlluxionTemporal Similarity Search: From Theory to PracticeBy Michael Ryaboy, Developer Advocate @ KDB.AInnWhy Attend?nGain practical insights from engineers tackling real-world scaling challengesnLearn about cutting-edge techniques in embedding applications, LLM optimization, & distributed caching for MLnConnect with peers who are passionate about solving complex AI problems at scalenEngage in technical discussions that go beyond the usual buzzwords & hypennAgendan5:45 PM - 6:00 PM: Registration & Networkingn6:15 PM - 7:30 PM: Technical Presentationsn7:30 PM - 9:00 PM: Q&A & Extended NetworkingnnEach talk will include time for Q&A, allowing for in-depth technical discussions.nWhat to ExpectnTechnical deep dives with code examples & architecture discussionsnHonest conversations about the challenges of scaling AI systemsnOpportunities to network with speakers & attendees facing similar technical hurdlesnA collaborative atmosphere focused on knowledge sharing & problem-solvingnnWho Should Attend?nThis meetup is tailored for:nML/AI engineers working on production systemsnResearchers interested in the practical aspects of scaling AInData scientists looking to optimize their workflowsnSoftware engineers curious about the infrastructure powering modern AInWhile we welcome attendees at all levels, our talks will assume some understanding of machine learning concepts & distributed systems principles.nnComplimentary refreshments, including pizza, will be provided to fuel our discussions.nDon't miss this opportunity to elevate your understanding of AI systems at scale & connect with fellow engineers pushing the boundaries of what's possible.nSpace is limited because of our venue, so register now to secure your spot!nnCall for speakers! We are seeking passionate individuals as speakers. If you have valuable insights to share with the AI/ML Infra community, please fill out this form:nhttps://forms.fillout.com/t/kfN2K6maXQus
 
 
 
 
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