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Cohere and Fujitsu joined forces to advance Japanese-language AI technology
Credit: Cohere

Cohere and Fujitsu joined forces to advance Japanese-language AI technology

Cohere and Fujitsu have formed a strategic partnership to develop and deploy advanced, secure Japanese language AI models for enterprise use, with plans to launch them in September 2024, and to combine Cohere's LLM expertise with Fujitsu's technologies to accelerate enterprise AI adoption.

Ellie Ramirez-Camara profile image
by Ellie Ramirez-Camara

Cohere and Fujitsu recently announced a strategic partnership to develop enterprise-grade AI solutions with Japanese language capabilities. Fujitsu has invested in Cohere as part of the strategic partnership, and both companies have agreed that Fujitsu will be the exclusive worldwide provider of the services it develops jointly with Cohere.

The focus of the partnership will be the creation of a Japanese language LLM based on Cohere's Command R+ model, tentatively named Takane, which will likely feature Command R+'s accurate retrieval-augmented generation backed by citations, multilingual support, and tool use for complex business task automation. Fujitsu plans to offer the model as a high-security standards-compliant service that can be deployed in private clouds for financial, government, and R&D customers. Fujitsu plans to launch Takane in September 2024 through Fujitsu Kozuchi.

Cohere's AI technology, including the industry-leading Embed and Rerank models, combined with Fujitsu's expertise in knowledge graphs, is also expected to produce enterprise search applications and retrieval-augmented generation (RAG) systems. Fujitsu will release a knowledge graph-extended RAG technology shortly, and a generative AI model auditing technology in September 2024. Both companies expect that their collaboration will deliver solutions based on cutting-edge technologies to accelerate the use of AI for enterprise productivity and digital transformation across several industries.

Ellie Ramirez-Camara profile image
by Ellie Ramirez-Camara
Updated

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