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Fujitsu develops generative AI reconstruction technology for optimized and energy-efficient AI models based on Takane LLM

Fujitsu's world-first specialized AI distillation not only significantly reduces model size, but also enhances accuracy beyond that of the original model. This brain-inspired approach extracts and condenses task-specific knowledge, creating highly efficient and reliable specialized AIs. Fujitsu's world-first specialized AI distillation not only significantly reduces model size, but also enhances accuracy beyond that of the original model. This brain-inspired approach extracts and condenses...
TOKYO, (informazione.news - comunicati stampa - information technology)

Fujitsu's world-first specialized AI distillation not only significantly reduces model size, but also enhances accuracy beyond that of the original model. This brain-inspired approach extracts and condenses task-specific knowledge, creating highly efficient and reliable specialized AIs.

This revolutionary lightweighting capability promises to democratize cutting-edge AI, enabling the deployment of sophisticated agentic AI on edge devices such as smartphones and factory machinery. This will lead to improved real-time responsiveness, enhanced data security, and a radical reduction in power consumption for AI operations, significantly contributing to a sustainable AI society.

Fujitsu plans to roll out trial environments for Takane with this applied technology starting in the second half of fiscal year 2025 and will progressively release models of Cohere's research open-weight Command A quantized via Hugging Face. Fujitsu remains committed to advancing generative AI capabilities to solve complex societal challenges and unlock new possibilities for AI utilization.

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