Hugging Face

Fujitsu Takane Boosts LLM with 1-Bit Quantization & AI Model Compression

Fujitsu Takane Boosts LLM with 1-Bit Quantization & AI Model Compression
Fujitsu’s latest generative AI breakthrough compresses large language models by 94% using 1-bit quantization, tripling inference speed and retaining 89% accuracy. Combined with brain-inspired knowledge distillation, these enhancements power high-speed, low-cost AI for CRM, image recognition, and edge deployments, all while reducing energy demands.

GSMA Launches Open-Telco LLM Benchmarks for AI in Telecom

Why AI Agents Can't Scale Without LLMs: Essential Guide & Free Resources
The GSMA Foundry has launched Open-Telco LLM Benchmarks, an open-source AI evaluation framework designed to enhance telecom-specific large language models (LLMs). Supported by Hugging Face, The Linux Foundation, Deutsche Telekom, SK Telecom, and more, this initiative aims to improve AI efficiency, security, and compliance in 5G and 6G networks. Learn

Why AI Agents Can’t Scale Without LLMs: Essential Guide & Free Resources

Why AI Agents Can't Scale Without LLMs: Essential Guide & Free Resources
AI agents are transforming industries in 2025, but scaling them efficiently without Large Language Models (LLMs) is impossible. LLMs provide critical capabilities such as reasoning, knowledge retrieval, and contextual understanding that power AI automation. This detailed article explores why LLMs are essential for AI agents, the role of Retrieval-Augmented Generation

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