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.
Learn how to effectively use Large Language Models (LLMs) for your organization. In this half-day in-company workshop, we will discuss the developments that led to the introduction of ChatGPT and explore different use cases to help you stay ahead of the curve and drive innovation.
This workshop will allow you to:
- Understand how LLMs work
- Apply these techniques in a real-world scenario
- Evaluate what it takes for your company to adopt this technology
Get started with your first LLM-based products and demo your first solution within a week.
- Build a minimal viable product
- Scale with architecture and interface
- Adopt the solution within the organization
Empower your organization to launch multiple use cases with LLMs. Provide access to your teams in a responsible manner.
- Launch new use cases on the LLM Platform
- Review the use of the LLMs in your organization
- Process and manage according to regulations
Leverage LLMs to change your software delivery process radically. Use LLMs to build software and features, allowing your engineering team to focus on validation and operation.
- Build faster by using LLMs to create a starting point or to review code
- Validate and refine the LLM-generated output
- Run your applications
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.