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IT leaders and AI practitioners seeking a compact, efficient language model capable of processing long-context information while ensuring cost-effectiveness and data privacy
About Xgen-small
Xgen-small is an enterprise-ready compact language model developed by Salesforce AI Research, designed to deliver long-context performance at a predictable, low cost. It combines domain-focused data curation, scalable pre-training, length extension, instruction fine-tuning, and reinforcement learning to meet the complex, high-volume inference demands of modern enterprises. Unlike traditional large models, Xgen-small offers efficient processing of extensive contexts, enabling the synthesis of information from internal documentation, code repositories, research reports, and real-time data streams. With sizes optimized at 4B and 9B parameters, it provides a strategic advantage by balancing cost efficiency, privacy safeguards, and long-context understanding, making it a sustainable and predictable solution for deploying Enterprise AI at scale.
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Salesforce
Founded: 1999
United States
www.salesforce.com/blog/xgen-small-enterprise-ready-small-language-models/
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