The surge of AI has reached the shores of business enterprises. Germany-based start-up Xayn launches Xaynia, the company's enterprise semantic search and recommendation AI. With the objective of accuracy, personalization, and privacy, Xayn's enterprise AI aims to provide a smooth and individually personalized user experience.
Business clients, especially from companies with large outward-facing knowledge bases, can utilize this AI search by implementing the plug-in via their API (Application Programming Interface). Powered with Natural Language Processing (NLP) technology, Xaynia offers highly accurate results according to its understanding of the users' search queries and context, tailored based on their individual preferences.
(Photo : Xayn)
What Is Enterprise AI?
Enterprise AI utilizes the power of machine learning to deliver solutions according to the needs of the business. This subset of artificial intelligence directs its focus on organizational needs.
Enterprise AI works to integrate the power of artificial intelligence into key systems to resolve high-value cases, especially in large-scale organizations. When companies take advantage of enterprise AI, businesses can gain significant insight into their operations, improving overall performance.
Xaynia Answers the Problems Caused by LLM
Xaynia answers the problems caused by Large Language Models (LLM). LLM-powered technology consumes huge amounts of energy and increases the costs for business clients immensely when used at a scale. In addition, there's a potential risk to the personal data accumulated over time with the company's use of generative AI, a production of LLM, increasing digital carbon footprint.
Xaynia aims to solve the LLM-caused problems by switching to Small Language Models, which are more efficient and sustainable in the long run. With SLM, Xayn's suite of multilingual NLP models can run on the performance of a mobile phone instead of the high capacity of supercomputers. This lessens the use of energy and the company's cost, helping them become more energy-efficient and cost-efficient because of Xaynia's enterprise AI.
The Enterprise AI of Xaynia
The NLP models of Xaynia may use less power and cost, yet the company's semantic search and recommendation maintain the accuracy of LLM. Xayn compressed the enterprise AI of Xaynia to maximize its energy efficiency. Through this method, Xaynia can process huge amounts of data, especially when processing millions of documents in a large database, and minimize energy consumption and costs at the same time.
With the power of enterprise AI tailored to individual preferences, Xaynia understands multiple search queries by different kinds of users. This semantic search of Xayn guarantees to deliver accurate results while being 20 times more energy efficient compared to its competitors.
Research Proved Xaynia is 20 Times More Energy-efficient
Xayn began as a research project out of the University of Oxford and Imperial College London. True to its roots, Xayn conducted research to test its sentence transformer ranker model extensively against other popular models. The objective of the research was to understand the search intent behind users' queries and indexed contents, and this research proved that Xaynia was 20 times more energy efficient.
The research has seven main authors, and among them is Xayn's Co-Founder and CEO, Leif-Nissen Lundbæk, Ph.D. He presented, together with one of the heads of the largest German public broadcast station called ZDF, the research findings at a Berlin conference proving that Xaynia, the model they created, was 98% more energy efficient than ZDF's previous system.
"[...] we proposed and developed two extensions to the distillation procedure of sentence transformer ranker models [...] We applied these extensions to a known distillation procedure.
We showed experimentally that applying this extended distillation procedure to semantic and relevance ranker models resulted in extreme compression that retains desired performance, increased inference speed, and reduced energy consumption significantly."
Xayn continues to validate its technology with different media companies like ZDF. Currently, the media institution aims to improve its database with the help of Xaynia to personalize the recommendations for its users in a more secure and cost-effective manner.
(Photo : Xayn)
Xaynia Answers the Need for Personalization
Given today's fast-changing economy, personalization has become significant in the marketing strategies used by companies. Given its proven ability to increase revenue and achieve higher retention rates, Xaynia answers the need for personalization, especially for media, e-commerce, or travel companies.
This semantic search and recommendation plug-in specially caters to users whose preferences are not clearly stated. Xayn's enterprise AI ensures content relevance, creating personalized search results and recommendations, which enhances the user experience overall.
Moreover, Xaynia extends its use to websites, apps, push notifications, and newsletters, operating to retain the attention of multiple users across various platforms, curating the experience to keep them engaged.
In summary
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Xaynia benefits companies by lessening the energy produced and cost spent through Small Language Models.
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The suite of Natural Language Processing models combines accuracy, personalization, and privacy, which enhances the user experience.
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Semantic Search understands search queries and context similar to humans and is developed to address the individual needs of different users.
Since becoming a company, Xayn has tackled the challenge of combining great AI technology and protecting digital privacy. With their new enterprise AI, the company aims to achieve personalization at a minimum cost yet shoot for optimal results.
With the release of Xaynia, this semantic search plug-in makes it easier for search results to be unique and personalized yet still accurate according to the user's needs. This is a guaranteed win for technology, the company, and the user delighted with the results and made possible by Xayn's enterprise AI.
