Russia’s Yandex opens public access to AI large language model

The logo of Russian internet group Yandex is pictured at the company’s headquarter in Moscow, Russia October 4, 2018. REUTERS/Shamil Zhumatov/File Photo

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  • This content was produced in Russia where the law restricts coverage of Russian military operations in Ukraine

MOSCOW, June 23 (Reuters) – Russian technology company Yandex (YNDX.O) said on Thursday it had made a large language model for artificial intelligence research open to the public, hoping to spawn faster and deeper development of certain AI technologies.

Large language models, which have become a key trend in AI, are powerful programs that can generate paragraphs of text and mimic human conversation.

Yandex, like many Russian companies, has endured a turbulent few months since Moscow sent tens of thousands of troops into Ukraine on Feb. 24.

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The company, whose business lines range from online search to e-commerce and ride-hailing services, plunged to a first-quarter loss, has flagged possible negative consequences from sanctions against Russia and has lost its chief executive and deputy chief executive. read more

Meta Platforms Inc (META.O) on Wednesday released what it said was the largest unrestricted, open-sourced artificial intelligence model to date, a 66 billion-parameter language model, having made a 175 billion-parameter model available to the AI research community last month.

Yandex said its public model was larger.

“YaLM 100B contains 100 billion parameters, more than any GPT-like model available in open-source under a licence that allows commercial use,” Yandex said.

“By making YaLM 100B publicly available, we hope to give impetus to further developing generative neural networks,” said Petr Popov, CEO of Yandex Technologies.

AI technology, a key area of research and development for several major online platforms, can perpetuate humans’ societal biases around issues such as race and gender, and some researchers have concerns about the harms that can be spread through large language models.

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Reporting by Reuters
Editing by Matthew Lewis

Our Standards: The Thomson Reuters Trust Principles.

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Raleigh Lupo