#on-premise-deployment News & Analysis

3 articles tagged with #on-premise-deployment. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AIBullishOpenAI News · May 187/10

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OpenAI and Dell partner to bring Codex to hybrid and on-premise enterprise environments

OpenAI and Dell have partnered to deploy Codex, OpenAI's AI coding model, in enterprise hybrid and on-premise environments, enabling organizations to implement AI-powered coding agents while maintaining data security and control. This collaboration addresses enterprise demand for deploying advanced AI capabilities within existing infrastructure rather than relying solely on cloud-based solutions.

🏢 OpenAI

AINeutralarXiv – CS AI · Jun 16/10

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A Pilot Study on Curator-Guided Multilingual Art Description for Blind and Low-Vision Audiences with Small Vision-Language Models

Researchers conducted a pilot study using small vision-language models (Qwen2.5-VL-3B-Instruct) to generate multilingual art descriptions for blind and low-vision audiences in museum settings. The study compared language-specific and multilingual adapter approaches across German, Romanian, and Serbian, finding that language-specific models performed better for accessibility while maintaining privacy through on-premise deployment.

AINeutralarXiv – CS AI · Apr 156/10

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Fine-Tuning LLMs for Report Summarization: Analysis on Supervised and Unsupervised Data

Researchers demonstrate that fine-tuning Large Language Models for report summarization is feasible on limited on-premise hardware (1-2 A100 GPUs), addressing practical constraints in sensitive government and intelligence applications. The study compares supervised and unsupervised approaches, finding that fine-tuning improves summary quality and reduces invalid outputs, even without ground-truth training data.