Vision language models

Oct 22, 2026

The Recommendation Engine for Commodity Traders — Anekha Sokhal, Moshi

Anekha Sokhal, founder and CEO of Moshi, explains how her background in energy derivatives trading and machine learning research led to a real-time intelligence platform for financial traders. The discussion covers how Moshi structures public, alternative, and private data into a connected graph, why recommendation and UI design matter as much as modeling, how trusted sources and conflicting reports are handled, and the pressure on AI engineers to become the whole team.

Oct 13, 2026

Automating document work with Long-Horizon AI Agents at LlamaIndex

Jerry, CEO of LlamaIndex, argues that as AI agents move from answering questions to running long-lived workflows, documents become their most important context source. He walks through the evolution from simple RAG to agent harnesses, explains why PDFs are hard to parse, and presents the company's approach to OCR, extraction with grounding, and document search. He closes by outlining unsolved problems: agent-native document formats, in-place editing, versioning, distilling frontier workflows into cheaper models, and long-horizon background agents.

Oct 09, 2026

Data pipeline at Petabyte scale: Production Video Curation with Ray on CoreWeave

A walkthrough of how Anyscale and CoreWeave scaled a video captioning pipeline from 600 GB to about 6 PB, running managed Ray on CoreWeave Kubernetes Service with CAIOS caching. The talk covers the stack, the bottlenecks that drove GPU utilization from about 10% to near 100%, storage and fault-tolerance design, and the throughput achieved across 1,500 or more GPUs.

Sep 24, 2026

One Operator, Many Drones: Inside Skydio's Autonomy Stack — Suchet Bargoti, Skydio

Suchet Bargoti, Skydio's Director of Inspection and Mapping, demos a fleet of docked drones orchestrated through an agentic layer, then explains how full-stack autonomy, maps as world models, edge-cloud splitting, VLM-driven tracking and the limits of end-to-end learning combine to make drones function as infrastructure.

Sep 23, 2026

Skill issue: stop deploying vision language models, use them with Skills — Merve Noyan, Hugging Face

Merve Noyan discusses the pitfalls of directly using large Vision Language Models (VLMs) at runtime due to performance limitations and restrictive licensing. She introduces "Web Vision," a toolkit that enables efficient training of smaller, task-specific computer vision models using a novel "vibe training" methodology. This approach leverages VLMs for initial labeling and judgment, followed by training efficient models like RF-DETR, all while adhering to Apache 2.0 licenses and costing only a few dollars.

Sep 16, 2026

Your Agreements Are a Database You Can't Query — Hiral Shah, Docusign & Sean Sodha, NVIDIA

The talk by Hiral Shah (DocuSign) and Sean Sodha (NVIDIA) addresses the critical challenge of extracting valuable, negotiated data from unstructured agreements, highlighting how generic AI models fail at complex tables. They introduce DocuSign's Intelligent Agreement Manager powered by NVIDIA's purpose-built, small-parameter NeMo Parse VLM, designed specifically for efficient and accurate table extraction, demonstrating 20x faster processing, lower cost, and its impact on unlocking billions in trapped enterprise data.