LLM Developer Day

A free digital event, hosted by the NVIDIA Deep Learning Institute.

Nov 29, 8:00 a.m. IST / 10:30 a.m. SGT / 1:30 p.m. AEDT

Join us for an exciting and interactive day delving into cutting-edge techniques in large-language-model (LLM) application development.

LLM Day will offer hands-on, practical guidance from LLM practitioners, who will share their insights and best-practices for getting started with and advancing LLM application development.

We have a track running for general use cases for LLM and focused tracks for Life Sciences and Cyber Security. To learn more about:

# LLM across use cases - Attend Sessions 1, 2a, 3a and 4.
# Life Sciences - Attend Sessions 1, 2b, 3a and 4.
# Cybersecurity - Attend Sessions 1, 2a, 3b and 4.


8:00 IST | 10:30 SGT | 13:30 AEDT

Session 1: The Fast Path to Developing With LLMs

Learn practical methods for designing and implementing LLM-powered systems on real-world business data using popular, ready-to-go LLM APIs—no specialized hardware, model training, or tricky deployment required. We'll show techniques for engineering effective inputs to the models (“prompts”) and how to combine LLMs with other systems, including business databases, with toolkits like LangChain. Join us and learn how to build LLM systems to generate tangible business results.

David Taubenheim, Senior Solutions Engineer, NVIDIA

9:30 IST | 12:00 SGT | 15:00 AEDT

Session 2a: Tailoring LLMs to Your Use Case

Push LLMs beyond the quality limits of off-the-shelf models and APIs by customizing them for domain-specific applications. We'll discuss strategies for preparing datasets and showcase gains from different forms of customization using practical, real-world examples. Join us and learn about model tuning techniques applicable for both API-based and self-managed LLMs.

*Please choose either Session 2a or Session 2b.

Christopher Pang, Senior Solutions Engineer, NVIDIA

9:30 IST | 12:00 SGT | 15:00 AEDT

Session 2b: Large Language Models and Generative AI for Life Sciences

In this session, we'll explore foundational AI models in biology, as well as practical protein engineering and design applications supported by real-world examples. We'll discuss recent biology breakthroughs and apply that to how you can use LLMs to predict protein structure and function and encode protein data computationally. Attendees will learn techniques for how to use NVIDIA BioNeMo™, a generative AI platform for drug discovery, to simplify and accelerate training of models on their own data, ensuring easy and scalable deployment of models for drug discovery applications.

*Please choose either Session 2a or Session 2b.

Chelsea Sumner, PharmD, RPh, Healthcare AI Startups Lead, NVIDIA

Chris Dallago, Senior Solutions Architect, NVIDIA

11:00 IST | 13:30 SGT | 16:30 AEDT

Session 3a: Running Your Own LLM

Optimizing and deploying LLMs on self-managed hardware—whether in the cloud or on premises–can produce tangible efficiency, data governance, and cost improvements for organizations operating at scale. We'll discuss open, commercially licensed LLMs that run on commonly available hardware and show how to use optimizers to get both lower-latency and higher-throughput inference to reduce compute needs. Join us and learn how to scale up self-managed LLMs to accommodate unique business and application requirements.

*Please choose either Session 3a or Session 3b.

Emily Apsey, Senior Technical Marketing Engineering Manager, NVIDIA

11:00 IST | 13:30 SGT | 16:30 AEDT

Session 3b: Reinventing the Complete Cybersecurity Stack With AI Language Models

Cybersecurity is a data problem, and one of the most effective ways of contextualizing data is via natural language. With the advancement of LLMs and accelerated compute, we can represent security data in ways that expand our detection and data generation techniques. In this session, we’ll discuss advancements in LLMs, including how to leverage them throughout the cybersecurity stack, from copilots to synthetic data generation.​

*Please choose either Session 3a or Session 3b.

Bartley Richardson, PhD, Director of Cybersecurity Engineering, NVIDIA

12:30 IST | 15:00 SGT | 18:00 AEDT

Session 4: Technical Ask-the-Experts

In this session, we'll answer any additional questions that attendees may have, beyond those discussed during the sessions.


Bartley Richardson, PhD

Cybersecurity Engineering Director 

Chelsea Sumner, PharmD, RPh,

Healthcare AI Startups Lead

Chris Dallago

Senior Solutions Architect

Chris Pang

Senior Solutions Engineer

David Taubenheim

Senior Solutions Engineer

Emily Apsey

Senior Technical Marketing Engineering Manager

Elevate Your LLM Skills with NVIDIA Training

Take advantage of our comprehensive LLM learning path, covering fundamental to advanced topics, featuring hands-on training developed and delivered by NVIDIA experts. You can opt for the flexibility of self-paced courses or enroll in instructor-led workshops to earn a certificate of competency.