Lakehouse to LLM - Solving Business Tasks Reliably and at Scale
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Explore how to process large amounts of data with Large Language Models (LLMs) for reliable workflow automation at scale in this 26-minute conference talk by Alberto Rizzoli, CEO of V7. Dive deep into running AI models to automate multiple back-office tasks, moving beyond one-on-one chat experiences to massive-scale AI-powered databases and workflows. Learn to empower your team with LLM-powered workflows that process multimodal data from Databricks, allow for continuous improvement and fine-tuning, and enable specialization of AI models for specific business tasks. Discover how to use models like GPT-4 Vision, Claude, and Llama to automate document processing, web page auditing, image recognition, and financial analysis at an enterprise scale. Gain insights into implementing LLMs into complex human-led processes for increased automation via specialized co-pilots through a fully UI-led presentation with data analysis. Access additional resources like the LLM Compact Guide and Big Book of MLOps to further enhance your understanding of the topic.
Syllabus
Lakehouse to LLM: Solve Business Tasks with LLMs Reliably and at Scale
Taught by
Databricks