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Event PyTorch Meetup #21 2025-09-12
Ash Vardanian – Founder @ Unum Cloud

Apache Lucene was never built for AI-scale vector search. In this talk, I’ll show how USearch bridges the JVM–native gap, pairing Spark’s horizontal scale with native vertical speed.

Spark usearch vector search lucene jvm-native
alexandr notchenko – AI Research Scientist @ Topnotch Labs

We will trace 3D reconstruction from classical SfM/MVS to the deep-learning shift, transformer-based models like VGGT that tackle multiple 3D vision tasks at once. This talk is for anyone at the intersection of deep learning and 3D vision who wants to understand how these tools are redefining the state of the art and the future of spatial AI.

3d reconstruction sfm/mvs deep learning transformers vggt spatial ai
kir zharov – Co-Founder @ SpinnerAI

We will dive deeper into inference from Apple Silicon to huge production clusters, and cover tricks how to make it faster.

LLM inference edge devices apple silicon production clusters Databricks
udaybhanu gaddam – Solutions Architect @ Databricks , sanjay ashok – Solutions Architect @ Databricks

This talk explores what components are included in the LLM lifecycle: fine-tuning, evaluations, LLMs as judges, and human-in-the-loop feedback. We’ll show how Agent Bricks on Databricks automate these workflows, making it easier to build, assess, and scale trustworthy AI systems

agent bricks Databricks llm lifecycle MLOps
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