Bridging the Gap Between Large Models and Real‑World Applications with RAG and Agents

This article examines how Retrieval‑Augmented Generation (RAG) and multi‑agent technologies narrow the gap between large language models and practical deployment, highlighting their roles in operations automation, financial risk control, intelligent data governance, database localization, edge inference, and future AI‑driven solutions.

Data GovernanceLarge Language ModelsOperations Automation

0 likes · 8 min read

Bridging the Gap Between Large Models and Real‑World Applications with RAG and Agents

AntTech

Nov 19, 2021 · Information Security

Privacy Computing: Current Applications and Challenges in Finance, Healthcare, and Government

The 2021 China Internet Law Conference report shows that privacy‑preserving computation has begun pilot deployments in finance, medical and public‑sector domains, delivering fraud‑risk reduction, secure biomedical research, and collaborative power‑grid analytics, yet it remains in early stages and faces scalability, standards, and policy challenges.

Federated LearningPrivacy Computingdata security

0 likes · 7 min read

Privacy Computing: Current Applications and Challenges in Finance, Healthcare, and Government