Fujitsu intros Japanese LLM for gen AI in global government, finance, healthcare

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Fujitsu intros Japanese LLM for gen AI in global government, finance, healthcare

Fujitsu has introduced Takane, a new Japanese-language large-language model (LLM) designed for global enterprise customers. Developed in collaboration with Cohere, this model is touted as a significant advancement in generative AI, offering unparalleled proficiency in the Japanese language. Takane integrates knowledge graphs and retrieval augmented generation (RAG) techniques, enhancing its capabilities for various industries.

The Takane model is part of Fujitsu's Kozuchi AI suite, which has evolved into a comprehensive AI development and consultancy platform. Targeting sectors like government, finance, and healthcare, Takane is engineered to meet the stringent accuracy and reliability demands of these industries. Fujitsu's partnership with Cohere emphasizes a commitment to secure AI solutions tailored for sensitive applications.

• Takane offers the highest Japanese language proficiency in generative AI.

• Fujitsu targets sensitive industries requiring high accuracy with Takane.

Key AI Terms Mentioned in this Article

Large Language Model (LLM)

Takane is a Japanese LLM that excels in language proficiency and is tailored for enterprise applications.

Retrieval Augmented Generation (RAG)

Takane utilizes RAG to improve the accuracy of its outputs.

Knowledge Graph

Takane employs knowledge graphs to link company data with generative AI outputs.

Companies Mentioned in this Article

Fujitsu

Fujitsu's development of Takane highlights its commitment to advancing AI technologies for enterprise use.

Cohere

Cohere's partnership with Fujitsu has been pivotal in creating the Takane model.

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