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HeFDI Code School Expert Track - Workshop 2: Rapid Application Development with Large Language Models (LLMs)

A workshop track for researchers who already have experience with coding, but want to further develop their skills by diving into the vast field of code and AI.

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About the HeFDI Code School Expert Track 

The HeFDI Code School Expert Track offers 2 online workshops in cooperation with hessian.AI. The workshop series is intended for researchers who already have experience with coding, but want to further develop their skills by diving into the vast field of code and AI.

For active participation in the workshops and to receive a certificate of attendance signed by NVIDIA, you must register with NVIDIA's Deep Learning Institute. Further details will be provided during registration. Please note that participation is limited to academic students, staff, and researchers.

About this workshop

Recent advancements in both the techniques and accessibility of large language models (LLMs) have opened up unprecedented opportunities to help businesses streamline their operations, decrease expenses, and increase productivity at scale. Additionally, enterprises can use LLM-powered apps to provide innovative and improved services to clients or strengthen customer relationships. For example, enterprises could provide customer support via AI companions or use sentiment analysis apps to extract valuable customer insights. In this course you will gain a strong understanding and practical knowledge of LLM application development by exploring the open-sourced ecosystem including pretrained LLMs, enabling you to get started quickly in developing LLM-based applications.

Topics covered

The workshop covers large language models from beginning to end, starting with fundamentals of transformers, progression into foundational large language models, and finishing in model/agentic orchestration. Each of these sections is designed to equip participants with the knowledge and skills necessary to progress further in developing useful LLM-powered applications.

Prerequisites

In addition to possessing a basic knowledge of coding, please take a look at the following external information on preparation.

Registration

Please register here. Please note that participation is limited to academic students, staff, and researchers. When registering, ensure that your affiliation is clearly indicated through your email address.