Large Language Models (LLMs) and Generative AI (GenAI) are accelerating the development of applications for many use cases, including question-answering, summarizing, chatbot, code generation, drug discovery, and generating media such as images, 3D models and audio, among others.
Welcome to the NVIDIA Large Language Model Workshop and Startup Fireside Chat in Australia! We will provide a unique opportunity for data scientists, developers, and enthusiasts to delve into the world of large language models and explore the potential applications and advancements in this field.
Furthermore, join us for the NVIDIA Startup Fireside Chat to communicate, exchange, and share talents and creativity from the ecosystem. Get ready for an immersive experience that will shape the future of natural language processing.
- Demystifying LLM (Large Language Model) and an introduction to the NVIDIA NeMo framework.
- How to train and perform inference with LLM at a large scale.
- The adoption of pre-trained LLM models for domain customization and prompt learning.
- The demo of the NVIDIA NeMo service.
- Having the chance to connect, learn, network and share latest thoughts of AI development.
Chief Technologist/Director at NVIDIA Asia Pacific South Region works with innovators, researchers and techno-entrepreneurs to accelerate AI & GPU adaptation for their translational R&D and software solutioning needs. He has direct experience and passionate in accelerated computing, embedded software, autonomous systems, machine learning, deep learning, solution design and development covering end-to-end needs in various industry verticals. Currently he guides researchers/developers at customer/partner R&D centers and disruptive startups to implement actionable solutions for real world problems meeting specific requirements leveraging NVIDIA Compute/software/hardware capabilities. He has published numerous publications, patents and developed software libraries in past with, 25 years of Direct Technical, Managerial, Consulting and Expert Guiding experience in Computational Sciences.
After his PhD in Applied Mathematics at the University of Namur (Belgium), Dr. Johan Barthélemy joined the SMART Infrastructure Facility of the University of Wollongong (Australia) where he was a Lecturer and the head of the Digital Living Lab researching and developing AI and AIoT solutions for smart cities and environmental monitoring. Being passionate about applied AI and how to accelerate it with GPUs, he is now a Developer Relations Manager at NVIDIA, helping developers and scientists in their journey to build the next generation of AI-based solutions.
