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Activities & events
| Title & Speakers | Event |
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Scaling Vector Search Up & Out with Spark
2025-09-12 · 16:30
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. |
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Foundation models for 3D reconstruction
2025-09-12 · 16:30
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. |
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LLM Inference Under the Hood: From Edge Devices to Production Beasts
2025-09-12 · 16:30
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. |
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Automating LLM lifecycle on Databricks using Agent Bricks
2025-09-12 · 16:30
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 |
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