industrial applications

DataFunTalk

May 31, 2024 · Artificial Intelligence

The Role of Knowledge Graphs in Industry: Importance, Product Forms, and Practical Cases

This article explains why knowledge graphs are crucial for industrial applications, describes the main product forms and architectural considerations, and shares real‑world case studies illustrating how AI, large models, and graph databases can be combined to improve knowledge management and decision‑making.

AILarge Language Modelsgraph database

0 likes · 20 min read

The Role of Knowledge Graphs in Industry: Importance, Product Forms, and Practical Cases

DataFunSummit

Dec 15, 2023 · Artificial Intelligence

Integrating Large Language Models into Recommender Systems: Opportunities, Methods, and Challenges

This article explores how large language models can be incorporated into recommender systems, discussing background challenges, specific integration points across the recommendation pipeline, practical implementation methods, experimental results, and future research directions, while highlighting industrial considerations and potential improvements.

Feature EngineeringLLMModel Fusion

0 likes · 20 min read

Integrating Large Language Models into Recommender Systems: Opportunities, Methods, and Challenges

Baidu Tech Salon

Aug 29, 2023 · Artificial Intelligence

Insights into Baidu's Wenxin Yiyan Large Language Model and Its Role in AI-Driven Industrial Production

Baidu’s Wenxin Yiyan, a knowledge‑enhanced large language model now at version 3.5, outperforms ChatGPT, showcases rapid training and inference, and is being deployed across transportation, agriculture, energy and other sectors, illustrating AI’s transition to industrial mass production and its strategic boost for China’s high‑quality economic growth.

AI StrategyArtificial IntelligenceWenxin Yiyan

0 likes · 9 min read

Insights into Baidu's Wenxin Yiyan Large Language Model and Its Role in AI-Driven Industrial Production

DataFunTalk

Jul 29, 2023 · Operations

Operations Research and Decision Optimization Sessions at DataFun Summit 2023

The DataFun Summit 2023 Decision Intelligence Forum features leading experts from Tsinghua University, Shanshu Technology, Cainiao Network, and Alibaba Cloud presenting cutting‑edge research and real‑world case studies on operations research, supply‑chain optimization, logistics, energy markets, and decision‑making algorithms.

LogisticsOptimizationdecision optimization

0 likes · 7 min read

DataFunSummit

Feb 26, 2023 · Artificial Intelligence

Design Philosophy and Industrial Practices of PaddleNLP

This article reviews the development trends of open‑source NLP products, explains PaddleNLP’s design principles—task‑centric, model‑centric, and solution‑centric—along with its modular, ecosystem‑driven, and production‑ready architecture, and showcases several industry case studies demonstrating its practical applications.

AI pipelinesNLPOpen-source

0 likes · 17 min read

Design Philosophy and Industrial Practices of PaddleNLP

DataFunTalk

Dec 4, 2021 · Artificial Intelligence

Knowledge‑Enhanced Graph Semantic Understanding and the ERNIESage Framework

This article introduces knowledge‑enhanced graph semantic understanding techniques, detailing the ERNIE pre‑training models, GraphSAGE, and the ERNIESage family of node, edge, and multi‑neighbor architectures, and demonstrates their explicit and implicit knowledge integration in industrial search, recommendation, and map‑POI applications.

ERNIEGraph Neural NetworksSemantic Understanding

0 likes · 14 min read

Knowledge‑Enhanced Graph Semantic Understanding and the ERNIESage Framework

AntTech

Aug 12, 2019 · Artificial Intelligence

Graph Neural Networks: The New AI Darling and Its Industrial Deployment Challenges

The article examines how graph neural networks (GNNs) have emerged as a powerful AI technique addressing deep learning’s limitations, outlines their growing industrial use at Ant Financial, and discusses the significant technical hurdles of scaling GNN training and online inference in large‑scale graph environments.

Artificial IntelligenceGraph Neural Networksdistributed computing

0 likes · 9 min read

Graph Neural Networks: The New AI Darling and Its Industrial Deployment Challenges