Skip to content
  • Categories
  • Newsletter
  • Recent
  • AI Insights
  • Tags
  • Popular
  • World
  • Groups
Skins
  • Light
  • Brite
  • Cerulean
  • Cosmo
  • Flatly
  • Journal
  • Litera
  • Lumen
  • Lux
  • Materia
  • Minty
  • Morph
  • Pulse
  • Sandstone
  • Simplex
  • Sketchy
  • Spacelab
  • United
  • Yeti
  • Zephyr
  • Dark
  • Cyborg
  • Darkly
  • Quartz
  • Slate
  • Solar
  • Superhero
  • Vapor

  • Default (No Skin)
  • No Skin
Collapse
  1. Home
  2. AI Insights
  3. Baidu Intelligent Cloud Qianfan Large Model Platform 2.0 Released, Significantly Reducing Training Time Costs
uSpeedo.ai - AI marketing assistant
Try uSpeedo.ai — Boost your marketing

Baidu Intelligent Cloud Qianfan Large Model Platform 2.0 Released, Significantly Reducing Training Time Costs

Scheduled Pinned Locked Moved AI Insights
techinteligencia-ar
1 Posts 1 Posters 0 Views 1 Watching
  • Oldest to Newest
  • Newest to Oldest
  • Most Votes
Reply
  • Reply as topic
Log in to reply
This topic has been deleted. Only users with topic management privileges can see it.
  • baoshi.raoB Offline
    baoshi.raoB Offline
    baoshi.rao
    wrote on last edited by
    #1

    At today's Baidu Cloud Intelligence Conference, Shen Dou, Executive Vice President of Baidu Group and President of Baidu Intelligent Cloud Business Group, delivered a keynote speech titled 'Intelligent Productivity, Navigating Through Cycles.'

    He mentioned that since its launch, the Baidu Intelligent Cloud Qianfan Large Model Platform has been used by over 10,000 customers, with applications spanning more than 400 scenarios.

    At the same time, he also announced the official release of Baidu Intelligent Cloud Qianfan Large Model Platform 2.0.

    It is reported that the upgraded Qianfan Large Model Platform features the most pre-installed large models and datasets, the richest and most comprehensive toolchain, the best computing efficiency, and the most complete large model security solutions. The platform manages 42 mainstream large models from both domestic and international sources and 41 industry-specific datasets. It also comes pre-installed with 10 selected application paradigms, lowering the barrier for enterprises to use, train, and infer large models. The toolchain is more comprehensive, lightweight, and agile, allowing users to validate model performance within a single day.

    With the upgraded computing services, the time cost of training large models has been significantly reduced, with an acceleration ratio of over 95%. The platform also provides model security, content security, and data security capabilities to protect model assets and control input and output security risks.

    1 Reply Last reply
    0
    Reply
    • Reply as topic
    Log in to reply
    • Oldest to Newest
    • Newest to Oldest
    • Most Votes


    • Login

    • Don't have an account? Register

    • Login or register to search.
    • First post
      Last post
    0
    • Categories
    • Newsletter
    • Recent
    • AI Insights
    • Tags
    • Popular
    • World
    • Groups