Leveraging Large Language Models for Enterprise Usage
Organizations worldwide are still trying to understand how to leverage generative AI models and put them into practical use. To enable them, NVIDIA developed a full-stack approach, from the hardware to develop and serve these models, to the variety of customizable SDKs and services to assist research and industry alike. However, LLMs, like any other technology, are not perfect and require guardrails to address shortcomings such as hallucination, inherited bias, and toxicity. By providing toolsets and mechanisms to mitigate these limitations, in the roads ahead, we hope to see generative AI open up new horizons and brings about positive revolution. Join this talk to learn about foundation and ChatGPT-style models, generative AI and LLM technology at NVIDIA, shortcomings and proposed guardrails, and the road ahead.
Liron Friend-Saadon leads Developer Relations at NVIDIA CEE & Israel regions. In this role, Liron works with AI developers across many industries helping to educate, onboard and implement Nvidia platforms that accelerate and optimize both AI development (training) and implementations (inferencing) in many different types of environments.