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.

Sep 24, 2026

AI Engineer Paris 2026 Opening Keynotes: Mistral, Langfuse & Sizzy | Day 1

The AI Engineer Paris 2026 main stage featured discussions on the historical impact of AI as a general-purpose technology, the evolving landscape of AI engineering towards sophisticated "software factories," and Mistral AI's strategic vision for building frontier AI, ensuring agentic safety, and addressing data sovereignty through advanced models and infrastructure.

Sep 23, 2026

From Scratch to SOTA: Training a 3B State-Space Vision Model — Krishna Prasad Srinivasan, Sarvam

Sarvam introduces Vision India, a 3B parameter Vision Language Model achieving state-of-the-art in document AI for English and 22 Indian languages. It leverages a State Space Model (SSM) backbone for efficiency with long documents and a novel block-level OCR approach. A four-stage training curriculum, including advanced RL with verifiable rewards, and a robust data engine for low-resource languages underpin its superior performance, enabling the digitization of millions of pages for critical sectors.

Jan 23, 2026

Fully Connected Tokyo: [Hands-on workshop] Automation of document workflows in financial industry

This workshop by Upstage demonstrates how to automate financial document workflows using a combination of their specialized Document AI (Document Parse) and Large Language Models (LLMs). The session covers building robust information extraction pipelines, addressing challenges like varied templates and data formatting, and implementing systematic evaluation using Weights & Biases Weave. It also presents real-world case studies from the insurance industry, showcasing significant improvements in efficiency and data utilization.