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Generative AI

Make Large Language Models Work for Your Business

Apply Generative AI solutions to radically improve the way you work. Identify, develop, and adopt LLMs-based solutions leveraging Xebia's expertise, from workshops to products to platforms.

High-Performance Solutions to Process and Generate Text Solutions

Large Language Models (LLMs) are AI models that process and generate human-like language. They learn patterns and relationships in language from massive amounts of text data. LLMs can be used 
for language tasks, such as translation, chatbots, and summarization, and to redefine your operational processes.

Even before the emergence of Language Model-based Machine Learning (LLM) technology and the introduction of GPT, Xebia engineered business solutions by developing custom solutions. Our workshops, products, and services make implementing LLMs-based solutions easy and accessible.

Leveraging Generative AI for Your Business

The value drivers of large language models are many, but some of the most important include their ability to improve efficiency and accuracy in tasks like customer service and content creation. They can also be used to automate mundane tasks, freeing up time for more important work. Additionally, large language models can help businesses gain insights from unstructured data, leading to better decision-making and improved outcomes. 

LLMs Inspiration Seminar

Join this seminar to learn how to leverage the power of LLMs for your business. By exploring the developments that led to the rise of Generative AI and diving into different types of use cases, you will learn how to leverage LLMs for your business.
Our Experience

LLMs at Xebia

Xebia has been developing innovative solutions to complex business challenges for years.

Even before the emergence of Language Model-based Machine Learning (LLM) technology and the introduction of GPT, Xebia engineered business solutions by developing custom solutions. Examples include:

  • Creating chatbots for large financial institutions to improve data quality,
  • Applying LLM-like technology for protein engineering at a large biochemical firm, resulting in improved product quality and increased efficiency.
  • Developing a framework for the adoption of LLMs at a well-known financial institution.
  • Creating a "Natural Language Processing (NLP) with Deep Learning" training program.

The experience as a top-level partner of Amazon Web Services, Azure, Databricks, and Google Cloud Platform, uniquely positions Xebia as the enterprise partner for the implementations of LLM based solutions.

References

  • Bol.com
  • IFF
  • APG
  • DSM-1
  • pfizer
  • ING