How to Use Generative AI and LLMs for Your Business

Firmeninterne Durchführung auf Anfrage
Dauer: 1 Tag
Sprache: DE/EN

Executive Summary

Learn how to effectively use Generative AI and LLMs (Large Language Models) for your organization. In this half-day in-company workshop, we will discuss the developments that led to the introduction of a plethora of tools and explore different types of use cases to help you stay ahead of the curve and drive innovation.

This workshop will allow you to:

1.         Understand how LLMs work

2.         Apply these techniques in practice

3.         Evaluate what it takes for your company to adopt this technology

Turn the Generative AI Hype Into Business Value

One of the most popular implementations of Generative AI currently are LLMs. Applications have emerged as powerful tools that are reshaping the landscape of modern business. From generating human-like text to providing insights and recommendations, LLMs are transforming industries ranging from customer service and content creation to data analysis and decision-making. But how can you leverage this revolutionary technology for your business?

What You'll Learn

  • Understand

This workshop provides an opportunity to gain a comprehensive understanding of Large Language Models (LLMs) and their inner workings. We will cut through the complexity of the algorithms and focus on providing you with an intuitive understanding.

  • Apply

Through a series of hands-on exercises, you will explore the potential and limitations of LLMs, giving you a realistic perspective of how they can be applied. You'll master Prompt Engineering and get introduced to different tools, showcasing the full potential of LLMs for your business.

  • Evaluate

In addition to understanding and applying LLM techniques, this workshop will explore the practical considerations for adopting LLMs in your company. You'll learn how to ideate use cases for your organization and become familiar with the requirements to implement LLMs responsibly.

For Who Is This Workshop

Anyone interested in leveraging Large Language Models (LLMs) and Generative AI for their business. The potential audience for this workshop includes executives, product owners, data scientists, AI strategists, business analysts, and anyone who is interested in learning how to apply LLMs in a practical way to drive innovation and growth in their organization. The workshop is suitable for both technical and non-technical professionals who want to gain a comprehensive understanding of LLMs and their inner workings, as well as learn how to ideate use cases for their organization and become familiar with the requirements to implement LLMs responsibly.

This workshop can be delivered to groups ranging between 5 and 25 participants.

Duration and Cost

The contents of the workshop are tailored to fit your organization's needs. The cost for the workshop is based on the duration. A typical workshop has a duration of between four to eight hours.

Usually, there are funding options available, limiting the cost for your organization to a minimum.

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 generative AI, 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.

Overall, Xebia's experience demonstrates its commitment to staying ahead of the curve and leveraging emerging technologies to drive growth for businesses.

Course offering

We are happy to conduct the course in-house for your team. Contact us for a non-binding offer.