Enterprise Large‑Model Deployment and Data Governance: Insights from Deepexi’s President

The article examines how enterprises can adopt domain‑specific large models by balancing demand‑side cost‑reduction needs with supply‑side mature training techniques, discusses team composition, fine‑tuning methods, data governance for unstructured data, and outlines Deepexi’s product ecosystem designed to improve efficiency, performance, and user experience.

AI deploymentEnterprise AILarge Language Models

0 likes · 13 min read

Enterprise Large‑Model Deployment and Data Governance: Insights from Deepexi’s President

DataFunSummit

Dec 16, 2023 · Artificial Intelligence

Enterprise Large Model Deployment: Data Governance, Fine‑Tuning Strategies, and Cost Economics

The article examines how enterprises can adopt domain‑specific large models by addressing talent and cost challenges, outlining self‑supervised pre‑training, instruction fine‑tuning, data governance for unstructured data, dataset balance, model‑type selection, and integrated product solutions to achieve efficient, high‑performance AI deployments.

AI deploymentData GovernanceEnterprise AI

0 likes · 13 min read

Enterprise Large Model Deployment: Data Governance, Fine‑Tuning Strategies, and Cost Economics

DataFunSummit

Dec 13, 2023 · Artificial Intelligence

Enterprise Large‑Model Deployment: Data Governance, Fine‑Tuning Strategies, and Cost Economics

The article explores how enterprises can adopt domain‑specific large language models by addressing talent and cost challenges, outlining training pipelines, data governance for unstructured data, dataset balancing, fine‑tuning techniques, and a product ecosystem that lowers deployment barriers while optimizing performance and economics.

AI deploymentData Governancecost economics

0 likes · 13 min read