See every side of every news story
Published loading...Updated

Alibaba releases over 100 open-source models as it fends off competition

Summary by Cryptopolitan
Alibaba has released over 100 open-source AI models designed with advanced capabilities as the Chinese e-commerce giant seeks to be ahead of competition in the AI industry. Alibaba unveiled the models at its cloud segment’s annual flagship event known as the Aspara, which kicked off Thursday. The tech giant also released an AI-powered text-to-video technology as the company Alibaba enabled the models with enhanced capabilities According to a CN…
DisclaimerThis story is only covered by news sources that have yet to be evaluated by the independent media monitoring agencies we use to assess the quality and reliability of news outlets on our platform. Learn more here.

8 Articles

All
Left
Center
Right

Chinese IT conglomerate Alibaba has now released a collection of over 100 new open source AI models. The models could be used by other parties to develop their own generative AI applications, CNBC reports. The new Qwen 2.5 model collection will not least offer advanced abilities in mathematics and coding. According to Alibaba the collection envisioned to be able to be used in a variety of sectors. From cars and game development to scientific res…

Read Full Article

Chinese tech giant Alibaba Group has released open-source language models in its Qwen 2.5 series, totaling over a hundred models and containing between half a billion and 72 billion tokens.

Read Full Article
Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/yearSubscribe

Bias Distribution

  • There is no tracked Bias information for the sources covering this story.
Factuality

To view factuality data please Upgrade to Premium

Ownership

To view ownership data please Upgrade to Vantage

Bazaar Times broke the news in on Thursday, September 19, 2024.
Sources are mostly out of (0)

You have read 1 out of your 5 free daily articles.

Join millions of well-informed readers who use Ground to compare coverage, check their news blindspots, and challenge their worldview.