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human-in-the-loop

105 articles · Page 2 of 2
AI Large Model Application Practice
AI Large Model Application Practice
Jun 3, 2025 · Backend Development

Scaling Human‑in‑the‑Loop Agents to Distributed Environments with Robust Fault Recovery

This article explains how to extend a single‑process Human‑in‑the‑Loop (HITL) agent to a distributed, multi‑user API service using FastAPI, detailing session management, interrupt handling, client and server fault‑recovery strategies, and providing concrete code snippets and architectural diagrams.

LangGraphSession Managementdistributed systems
0 likes · 16 min read
Scaling Human‑in‑the‑Loop Agents to Distributed Environments with Robust Fault Recovery
Architects Research Society
Architects Research Society
May 7, 2025 · Artificial Intelligence

Five‑Layer AI Multi‑Agent Architecture: Hierarchical, Human‑in‑the‑Loop, Decentralized, Pipeline, and Data Transformation

The article outlines a five‑layer AI multi‑agent architecture covering hierarchical command chains, human‑in‑the‑loop security barriers, decentralized peer‑to‑peer networks, industrial‑grade pipeline processing, and data‑transformation alchemy, each illustrated with concrete enterprise and autonomous‑driving examples.

AIdata processinghuman-in-the-loop
0 likes · 3 min read
Five‑Layer AI Multi‑Agent Architecture: Hierarchical, Human‑in‑the‑Loop, Decentralized, Pipeline, and Data Transformation
DataFunTalk
DataFunTalk
Nov 26, 2022 · Artificial Intelligence

Human‑Centric Design for AI/NLP Document Extraction and Knowledge‑Graph Deployment

The article explains how combining human expertise with AI techniques—through problem decomposition, model selection, feature engineering, and knowledge‑graph construction—enables practical NLP solutions for document extraction and intelligent Q&A, illustrating the process with contract‑field extraction case studies.

AIDocument ExtractionNLP
0 likes · 14 min read
Human‑Centric Design for AI/NLP Document Extraction and Knowledge‑Graph Deployment
DataFunTalk
DataFunTalk
Feb 27, 2019 · Artificial Intelligence

Human‑Interactive Machine Translation: Research, Techniques, and Productization

This article reviews the current state of machine translation, explores the challenges of ambiguity, quality, and domain specificity, and presents human‑in‑the‑loop translation techniques—including attention‑enhanced models, transformer architectures, and online learning—while discussing practical productization and deployment considerations.

AI productizationAttentionTransformer
0 likes · 16 min read
Human‑Interactive Machine Translation: Research, Techniques, and Productization