Lakehouse to LLM - Solving Business Tasks Reliably and at Scale
Offered By: Databricks via YouTube
Course Description
Overview
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
Related Courses
Detección de objetosUniversitat Autònoma de Barcelona (Autonomous University of Barcelona) via Coursera Getting started with Augmented Reality
Institut Mines-Télécom via Coursera 6.S191: Introduction to Deep Learning
Massachusetts Institute of Technology via Independent Deep Learning Explained
Microsoft via edX Deep Learning in Computer Vision
Higher School of Economics via Coursera