Introducing Prism 1B:3B V1 скачать в хорошем качестве

Introducing Prism 1B:3B V1

DXwand proudly announces the launch of Prism v1.0, a groundbreaking series of small language models (SLM) designed to transform how businesses access and understand information. Built for precision and efficiency, Prism delivers accurate, context-aware answers in both English and Arabic, setting a new benchmark in AI-powered question-answering. Prism Comes with 1B and 3B parameters, fine tuned based on LLaMA 3.2 models raising LLaMA models benchmark in Arabic from 20% to 70%. The 1B Parameter Model is lightweight, fast, and cost-efficient, making it ideal for businesses that require high performance on lower-powered devices. On the other hand, the 3B Parameter Model is more powerful and accurate, capable of handling complex queries but requiring more processing power. Prism requires very minimal and highly optimized hardware, reducing hardware/GPU requirements by over 85% without compromising quality. By running on cost-effective minimal GPUs (T4/RTX), Prism delivers exceptional AI performance without the need for expensive infrastructure. Prism excels in delivering accurate, fluent results in both English and Arabic, ensuring seamless knowledge discovery across languages. Its advanced architecture raises Arabic accuracy by 4X compared to global market open-source models, making it a game-changer for Arabic language AI applications. Its multilingual excellence means businesses can rely on it for reliable insights in multiple languages without compromising quality. The design of Prism is focused on real-world applications, offering solutions to enterprise challenges across diverse industries. This business-centric design ensures that Prism meets the practical needs of organizations, delivering results that matter. Additionally, Prism’s capabilities are further enhanced when integrated with DXwand’s ORXTRA Auto RAG Tuner, which fine-tunes responses to meet specific business needs, ensuring that the answers are relevant and tailored to each use case.