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The Cannes Lions International Festival of Creativity 2023 in Cannes

A logo of Spotify is seen on a beach during the Cannes Lions International Festival of Creativity in Cannes, France, June 20, 2023. REUTERS/Eric Gaillard/File Photo Acquire Licensing Rights

STOCKHOLM, Nov 16 (Reuters) – Spotify (SPOT.N), on Thursday, expanded its partnership with Google Cloud to use large language models (LLMs) to help identify a user’s listening patterns across podcasts and audiobooks in order to suggest tailor-made recommendations.

Artificial intelligence-powered LLMs such as OpenAI’s ChatGPT and Google Bard, are trained on a massive amount of data to generate text and other content.

Google Cloud, owned by Alphabet (GOOGL.O), has several LLMs such as PaLM 2, Codey, Imagen and Chirp that are trained on text, codes, images, audio and video.

Spotify has been an early adopter of AI, which it used for music recommendation algorithms a decade earlier. The Swedish company is now aiming to use LLMs to replicate that across its non-music content such as podcasts and audiobooks.

The music streaming giant has been looking to boost its earnings by increasing its slate of revenue-generating formats such as podcasts and audiobooks.

It had previously promised high-margin returns from its costly expansion into podcasts and audiobooks.

“The evolution of our technology has been matched by Google Cloud’s commitment to building the best possible platform for our products to run on and driving further innovation with the emerging capabilities of generative AI,” said Gustav Söderström, Spotify’s chief product and technology officer.

With the expanded Google partnership, Spotify is also exploring the use of LLMs to provide a safer listening experience and identify potentially harmful content.

Reporting by Supantha Mukherjee in Stockholm; Editing by Savio D’Souza

Our Standards: The Thomson Reuters Trust Principles.

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Supantha leads the European Technology and Telecoms coverage, with a special focus on emerging technologies such as AI and 5G. He has been a journalist for about 18 years. He joined Reuters in 2006 and has covered a variety of beats ranging from financial sector to technology. He is based in Stockholm, Sweden. 

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