High-Performance Solutions to Process and Generate Text
Large Language Models (LLMs) analyze and generate human-like language. They learn from massive amounts of text data to build patterns and relationships. LLMs can be used for language tasks, such as translation, creation of chatbots, and summarization, and to redefine operational processes.
Even before the emergence of Language Model-based Machine Learning technology and the introduction of ChatGPT, Xebia already engineered custom text solutions. Today, 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, like summarising text, freeing up time for more important work. Additionally, Large Language Models can help businesses gain insights from unstructured data, e.g, a long list of customer reviews, leading to better decision-making and improved outcomes.
LLMs at Xebia
Xebia has been developing innovative solutions to complex business challenges for years.
Even before the emergence of LLMs, Xebia has been engineering custom business solutions to help companies process their text data. 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.
Our 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.
