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Japanese IT giant Fujitsu (NASDAQ: FJTSF) has partnered with artificial intelligence (AI) firm Cohere Inc. to provide tailor-made solutions for enterprises seeking to incorporate generative AI into their processes.

According to a joint press release, the partnership will involve developing a large language model (LLM) localized to the Japanese language to improve adoption levels. Dubbed Takane, the LLM will feature advanced functionalities beyond available options, but the report hints at a focus on privacy.

Under the collaboration, the Takane will operate in private environments upon launch, with private clouds for enterprises touted as its broadest use case. The LLM, scheduled for a potential release date in mid-September, could undergo several wholesale changes, including its name and functionalities.

However, available sources indicate that Takane will leverage Cohere’s existing LLM with a proven track record of mitigating hallucinations. The incoming offering is expected to lean on the retrieval-augmented generation (RAG) to remain one step ahead of the age-long problems of hallucination.

Keen on the challenges associated with AI and copyrights, the joint statement confirms that Takane is trained entirely on proprietary data while hinting at full compliance with national privacy and data handling laws.

Both parties appear confident in Takane’s ability to garner a significant market share despite its late entry into the space. They have their sights on Fujitsu’s experience in fine-tuning emerging technologies and knowledge graphs, in addition to Cohere’s previous successes with LLMs over the last year.

“Fujitsu has developed a knowledge graph extended RAG technology for logical inferences and a generative AI amalgamation technology for automatic generation of specialized generative AI models to meet the diverse needs of companies,” said Vivek Mahajan, CTO at Fujitsu.

The multilingual model is expected to be useful among enterprise clients seeking heightened security levels without sacrificing efficiency and productivity. Already, several clients in finance, research and development, and government agencies are angling to be the first to test the model.

A streak of partnerships

Keen to shed its history of isolationism, Japan is opening its doors to AI partnerships in an attempt to join the leading pack of AI innovations. Earlier, Japan entered into an arrangement to explore AI integration in military applications for drones and fighter jets, actively seeking partnership opportunities.

The government is also taking a soft stance on AI regulation to prevent stifling innovation and capital flight from Japan. Japanese authorities are keen on attracting global AI talent and service providers with attractive legislation and a limited tax burden.

“Japan is not thinking of implementing strict regulation, and there will be as few regulations as possible,” said Japanese regulator Masaaki Taira. “We are asked that question from overseas tech companies quite often.”

In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership—allowing it to keep data safe while also guaranteeing the immutability of data. Check out CoinGeek’s coverage on this emerging tech to learn more why Enterprise blockchain will be the backbone of AI.

Watch: AI & blockchain will be extremely important—here’s why

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