检索增强生成（RAG）

大语言模型(LLMs)有时不足以理解特定的业务环境。Factonics 能够利用最新数据和知识本体来丰富模型。在知识管理（GED）领域，我们的算法为从庞大的数据集中组织、索引和提取关键信息提供了强大的解决方案。该算法有助于智能文档管理，加快搜索速度，实现有针对性的信息检索。在快速消费品产品分类领域，我们的算法在自动构建大量数据方面表现出色。

Retrieval Augmented Generation (RAG)

LLMs are sometimes not enough to understand a specific business context. They need to be adapted to up-to-date, contextualized data.Factonics offers the ability to enrich a model with your up-to-date data, and your knowledge ontology. Augmented Generation retrieval ensures you have the most effective, up-to-date model for all your uses (chatbot, business insight, automation...).
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In the field of Knowledge Management (GED), our algorithm provides a powerful solution for organizing, indexing, and extracting crucial information from vast datasets. Facilitating intelligent document management, it enables faster searches and targeted information retrieval. In the FMCG product categorization domain, our algorithm excels in automatically structuring substantial volumes of data.

生成式人工智(GenAI)提升商业洞察力

Factonics 提供预制的提示解决方案，能够探索企业的所有数据。立即利用结果，并在几分钟内完善分析。

释放开源大语言模型(LLM) 的全部潜能

使用我们的"即服务"基础设施，为安全、经济高效地使用开源大语言模型铺平了道路。我们对大语言模型的愿景保持不变：业务价值是我们的首要任务。我们在模型方面做出明智的选择，以确保速度、低成本和数据保护。

Unleashing the full potential of open source LLM

The use of our as-a-service infrastructure paves the way for open-source LLM models to be used securely and cost-effectively.
Our vision regarding LLMs remains unchanged: business value is our priority. We make informed choices in terms of models to ensure speed, low cost, and data protection.

让我们携手共同放大人工智能的力量。

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