Giving New Life to Unstructured Data with LLMs and Agents
AI Summary
In this engaging discussion, Instabase founder Anant Bhardwaj and a16z Infra partner Guido Appenzeller explore the transformative role of Large Language Models (LLMs) in analyzing unstructured data. The conversation covers key challenges such as why legacy robotic process automation (RPA) struggles with unstructured inputs and highlights Instabase’s innovative layout-aware models for extracting insights from complex documents like PDFs. They emphasize that predictability is a critical metric for generative AI in enterprise contexts and envision a future with decentralized AI systems enhancing automation across workflows. The video features timestamps for key segments, including the role of AI agents, the application of AI in processes like lending via WhatsApp, and the imperative need for enterprise AI adoption.