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Feng (Elliott)
Ning
Gen AI Program Lead
NVIDIA
Feng is a Generative AI Program Lead at NVIDIA, working at the intersection of AI/ML, data platforms, and enterprise cloud architecture. His work focuses on translating emerging AI capabilities into scalable, production-ready systems used across complex enterprise environments. With a background spanning AI infrastructure, data systems, and cloud architecture, Feng brings a pragmatic perspective on what it takes to move generative AI from experimentation into real-world deployment.
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15 April 2026 14:30 - 15:00
Future of model development: Agent assisted training with NeMo framework
As AI models increase in scale and complexity, efficient and intelligent training pipelines become critical. The NVIDIA NeMo Framework offers a modular, end-to-end platform for building, fine-tuning, and evaluating models in distributed GPU environments, leveraging NVIDIA’s Megatron Core and AutoModel engines to support models of any size and complexity. A key trend is agent assisted model training, where AI agents utilize structured skills to autonomously add model support, configure development environments, optimize performance and more. Integrated with NeMo Framework, Agent Skills accelerate model development and move the process toward fully autonomous, adaptive, and agent-driven systems.