Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more

Enterprise LLM Applications – Not Just a Technological Challenge


Enterprises are scampering to build large language model applications. While building POCs they have a humbling realization: Deploying LLM applications to production is incredibly hard. We will discuss UX design, human behavior, and ethical, social, legal, and cultural challenges in the operationalization of LLM applications. For most enterprises, these non-technological challenges are a bigger barrier to adoption than the technology itself.

This introductory tutorial will introduce the audience to prevalent approaches to building a custom large language model application. We will present a canonical architecture for an LLM application and various available commercial and open-source tools and technologies available to build these applications.

Raja Iqbal

Raja Iqbal

CEO and Chief Data Scientist at Data Science Dojo

Raja Iqbal is a data scientist, a passionate educator, and an internationally recognized speaker on data science. Prior to Data Science Dojo, Raja worked at Microsoft in a variety of research and development roles involving machine learning and data mining at very large scale.

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!

Become a Presenter