{"id":105429,"date":"2024-10-23T16:48:00","date_gmt":"2024-10-23T14:48:00","guid":{"rendered":"https:\/\/cms.munich-startup.net\/?p=105429"},"modified":"2024-10-23T10:53:56","modified_gmt":"2024-10-23T08:53:56","slug":"appliedai-partnership-deepset","status":"publish","type":"post","link":"https:\/\/cms.munich-startup.net\/en\/105429\/appliedai-partnership-deepset\/","title":{"rendered":"AppliedAI: New partnership with Deepset"},"content":{"rendered":"
\n

Applications in the area of knowledge management using Retrieval Augmented Generation (RAG)<\/a> play an important role in everyday AI work. RAG is a concept that combines language models such as GPT with a retrieval mechanism to leverage knowledge from external data sources and thus improve the accuracy and timeliness of the generated answers. To offer companies a comprehensive offering, AppliedAI cooperates with initiative<\/a> with Deepset. The Berlin-based company's products help accelerate the development of customized applications for large language models (LLMs).<\/p>\n\n\n\n

Together, they aim to support companies throughout the entire development of their AI use cases \u2013 from ideation to deployment. They leverage their strengths in the areas of Generative AI, RAG, AI Engineering, and Trustworthy AI. The goal is a trustworthy RAG offering that can also be applied in companies with special data security, confidentiality, or compliance requirements.<\/p>\n\n\n\n

The partnership's joint offering is based on proven technologies and solutions for the easy implementation of AI-powered RAG solutions. This includes the planning, development, and deployment of RAG applications, as well as support for AI scaling. The AppliedAI Initiative offers consulting services and support for the development and implementation of AI applications. Deepset bridges the gap between research and market-ready technologies by integrating standardized or customized RAG components into cloud or on-premises infrastructure.<\/p>\n\n\n\n

The RAG components contain the latest large language models (LLMs) and small language models (SLMs). This enables companies to improve the quality and cost of their RAG solutions. They can also extend and customize this component library as needed.<\/p>\n\n\n\n

\n

"The advanced natural language processing of generative AI, integrated with RAG capabilities, is revolutionizing knowledge management by enabling fast and effective access to internal resources for decision-making\u2014similar to human interaction. To offer customers scalable, production-ready solutions, Deepset and AppliedAI are combining their technological resources, best practices solutions, and domain expertise in this promising new partnership."<\/p>\n<\/blockquote>\n\n\n\n

says Bernhard Pflugfelder<\/strong>, Head of GenAI at the AppliedAI Initiative.<\/p>\n\n\n\n

Also Milos Rusic<\/strong>, Co-Founder and CEO of Deepset, is convinced of the partnership:<\/p>\n\n\n\n

\n

"With AppliedAI's expertise and our technology, we can provide customers with a trusted package for implementing generative AI into their most critical business processes and customer experiences. Above all, we see trusted RAG as a future-proof solution that can be individually adapted to companies and changing conditions in every industry. This adaptability represents the next evolution of AI for enterprises."<\/p>\n<\/blockquote>\n<\/div>","protected":false},"excerpt":{"rendered":"

The AppliedAI Initiative and Deepset are joining forces to take innovative knowledge management solutions to the next level. 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